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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
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ege Logo"/>
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</v:shape><![endif]--><![if !vml]><img width=3D32 height=3D32
src=3D"Pati_files/image002.jpg" align=3Dleft alt=3D"Small Mission College L=
ogo"
v:shapes=3D"Picture_x0020_2"><![endif]><!--[if gte vml 1]><v:shape id=3D"Pi=
cture_x0020_3"
 o:spid=3D"_x0000_s1071" type=3D"#_x0000_t75" alt=3D"Small Math Dept Logo" =
style=3D'position:absolute;
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ible;
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go"/>
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src=3D"Pati_files/image003.jpg" align=3Dleft alt=3D"Small Math Dept Logo" v=
:shapes=3D"Picture_x0020_3"><![endif]><b>Math
Department, Mission College, Santa Clara, California</b> </p>

<p><b>Go to <a href=3D"http://www.missioncollege.org/depts/math/default.htm=
l">Math
Dept Main Page</a> | Go to <a href=3D"http://www.missioncollege.org/default=
.html">Mission
College Main Page</a></b> <span style=3D'font-family:"Arial Unicode MS","sa=
ns-serif";
mso-fareast-font-family:"Times New Roman"'><o:p></o:p></span></p>

<p><b><span style=3D'color:black'>This paper was written as an assignment f=
or Ian
Walton's Math G - Math for liberal Arts Students - at Mission College. If y=
ou
use material from this paper, please acknowledge it. </span></b></p>

<p><b><span style=3D'color:black'>To explore other such papers go to </span=
><a
href=3D"http://www.missioncollege.org/depts/math/gproject.htm">the Math G
Projects Page</a></b></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNoSpacing><o:p>&nbsp;</o:p></p>

<div style=3D'mso-element:para-border-div;border:none;border-bottom:solid #=
0F6FC6 1.0pt;
padding:0in 0in 4.0pt 0in'>

<p class=3DMsoTitle align=3Dcenter style=3D'text-align:center'><span
class=3DMsoSubtleEmphasis><span style=3D'font-style:normal'><o:p>&nbsp;</o:=
p></span></span></p>

</div>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<div style=3D'mso-element:para-border-div;border:none;border-bottom:solid #=
0F6FC6 1.0pt;
padding:0in 0in 4.0pt 0in'>

<p class=3DMsoTitleCxSpFirst align=3Dcenter style=3D'text-align:center'><sp=
an
class=3DMsoSubtleEmphasis><span style=3D'mso-ascii-font-family:Cambria;mso-=
ascii-theme-font:
major-latin;mso-hansi-font-family:Cambria;mso-hansi-theme-font:major-latin'=
>Born
to Count: </span></span><span class=3DMsoSubtleEmphasis><span style=3D'mso-=
ascii-font-family:
Cambria;mso-ascii-theme-font:major-latin;mso-hansi-font-family:Cambria;
mso-hansi-theme-font:major-latin;font-style:normal'><o:p></o:p></span></spa=
n></p>

<p class=3DMsoTitleCxSpLast align=3Dcenter style=3D'text-align:center'><span
class=3DMsoSubtleEmphasis><span style=3D'mso-ascii-font-family:Cambria;mso-=
ascii-theme-font:
major-latin;mso-hansi-font-family:Cambria;mso-hansi-theme-font:major-latin'=
>Inherent
Abilities in Mathematics</span></span><span class=3DMsoSubtleEmphasis><span
style=3D'mso-ascii-font-family:Cambria;mso-ascii-theme-font:major-latin;
mso-hansi-font-family:Cambria;mso-hansi-theme-font:major-latin;font-style:n=
ormal'><o:p></o:p></span></span></p>

</div>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoSubtitle align=3Dcenter style=3D'text-align:center'>Pati Brow=
n</p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'mso-no-proof:yes'><!--[if gte vml 1]><v:shape id=3D"Picture_x0020_=
7"
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t:203.25pt;
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src=3D"Pati_files/image005.jpg" v:shapes=3D"Picture_x0020_7"><![endif]><o:p=
></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:8.0pt;line-height:200%'><o:p>=
&nbsp;</o:p></span></p>

<p class=3DMsoNoSpacing align=3Dcenter style=3D'text-align:center'>Math G, =
Midterm</p>

<p class=3DMsoNoSpacing align=3Dcenter style=3D'text-align:center'>Dr. Ian =
Walton</p>

<p class=3DMsoNoSpacing align=3Dcenter style=3D'text-align:center'>26 Octob=
er 2009</p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'color:#0070C0'><o:p>&nbsp;</o:p></span></p>

<div style=3D'mso-element:para-border-div;border:none;border-bottom:solid #=
0F6FC6 1.0pt;
padding:0in 0in 4.0pt 0in'>

<p class=3DMsoTitleCxSpFirst align=3Dcenter style=3D'text-align:center'><sp=
an
class=3DMsoSubtleEmphasis><span style=3D'color:#0070C0;font-style:normal'><=
o:p>&nbsp;</o:p></span></span></p>

<p class=3DMsoTitleCxSpLast><span style=3D'font-size:12.0pt;mso-bidi-font-s=
ize:
11.0pt;font-family:"Times New Roman","serif";mso-fareast-font-family:Calibr=
i;
color:windowtext;letter-spacing:0pt;mso-font-kerning:0pt'><o:p>&nbsp;</o:p>=
</span></p>

</div>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<div style=3D'mso-element:para-border-div;border:none;border-bottom:solid #=
0F6FC6 1.0pt;
padding:0in 0in 4.0pt 0in'>

<p class=3DMsoTitleCxSpFirst>Born to Count: </p>

<p class=3DMsoTitleCxSpLast>Inherent Abilities in Mathematics</p>

</div>

<p class=3DMsoTocHeading><o:p>&nbsp;</o:p></p>

<p class=3DMsoTocHeading>Table of Contents</p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoToc1 style=3D'tab-stops:right dotted 467.5pt'><!--[if support=
Fields]><span
style=3D'mso-element:field-begin'></span><span
style=3D'mso-spacerun:yes'>&nbsp;</span>TOC \o &quot;1-3&quot; \h \z \u <sp=
an
style=3D'mso-element:field-separator'></span><![endif]--><a href=3D"#_Toc24=
4097458"><span
style=3D'mso-no-proof:yes'>Introduction</span><span style=3D'color:windowte=
xt;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-tab-count:1 dotted'>. </span></span><!--[if suppor=
tFields]><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-element:field-=
begin'></span>
PAGEREF _Toc244097458 \h <span style=3D'mso-element:field-separator'></span=
></span><![endif]--><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'>1<!--[if gte mso 9]><xml>
 <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005400=
6F0063003200340034003000390037003400350038000000</w:data>
</xml><![endif]--></span><!--[if supportFields]><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-element:field-end'></span></span><![endif]--></a><=
span
style=3D'font-size:11.0pt;line-height:200%;font-family:"Calibri","sans-seri=
f";
mso-fareast-font-family:"Times New Roman";mso-no-proof:yes'><o:p></o:p></sp=
an></p>

<p class=3DMsoToc1 style=3D'tab-stops:right dotted 467.5pt'><a href=3D"#_To=
c244097459"><span
style=3D'mso-no-proof:yes'>Theories</span><span style=3D'color:windowtext;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-tab-count:1 dotted'>. </span></span><!--[if suppor=
tFields]><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-element:field-=
begin'></span>
PAGEREF _Toc244097459 \h <span style=3D'mso-element:field-separator'></span=
></span><![endif]--><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'>2<!--[if gte mso 9]><xml>
 <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005400=
6F0063003200340034003000390037003400350039000000</w:data>
</xml><![endif]--></span><!--[if supportFields]><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-element:field-end'></span></span><![endif]--></a><=
span
style=3D'font-size:11.0pt;line-height:200%;font-family:"Calibri","sans-seri=
f";
mso-fareast-font-family:"Times New Roman";mso-no-proof:yes'><o:p></o:p></sp=
an></p>

<p class=3DMsoToc2 style=3D'tab-stops:right dotted 467.5pt'><a href=3D"#_To=
c244097460"><span
style=3D'mso-no-proof:yes'>Jean Piaget</span><span style=3D'color:windowtex=
t;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-tab-count:1 dotted'> </span></span><!--[if support=
Fields]><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-element:field-=
begin'></span>
PAGEREF _Toc244097460 \h <span style=3D'mso-element:field-separator'></span=
></span><![endif]--><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'>2<!--[if gte mso 9]><xml>
 <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005400=
6F0063003200340034003000390037003400360030000000</w:data>
</xml><![endif]--></span><!--[if supportFields]><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-element:field-end'></span></span><![endif]--></a><=
span
style=3D'font-size:11.0pt;line-height:200%;font-family:"Calibri","sans-seri=
f";
mso-fareast-font-family:"Times New Roman";mso-no-proof:yes'><o:p></o:p></sp=
an></p>

<p class=3DMsoToc2 style=3D'tab-stops:right dotted 467.5pt'><a href=3D"#_To=
c244097461"><span
style=3D'mso-no-proof:yes'>Jerry Fodor</span><span style=3D'color:windowtex=
t;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-tab-count:1 dotted'> </span></span><!--[if support=
Fields]><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-element:field-=
begin'></span>
PAGEREF _Toc244097461 \h <span style=3D'mso-element:field-separator'></span=
></span><![endif]--><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'>2<!--[if gte mso 9]><xml>
 <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005400=
6F0063003200340034003000390037003400360031000000</w:data>
</xml><![endif]--></span><!--[if supportFields]><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-element:field-end'></span></span><![endif]--></a><=
span
style=3D'font-size:11.0pt;line-height:200%;font-family:"Calibri","sans-seri=
f";
mso-fareast-font-family:"Times New Roman";mso-no-proof:yes'><o:p></o:p></sp=
an></p>

<p class=3DMsoToc2 style=3D'tab-stops:right dotted 467.5pt'><a href=3D"#_To=
c244097462"><span
style=3D'mso-no-proof:yes'>Brian Butterworth</span><span style=3D'color:win=
dowtext;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-tab-count:1 dotted'>. </span></span><!--[if suppor=
tFields]><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-element:field-=
begin'></span>
PAGEREF _Toc244097462 \h <span style=3D'mso-element:field-separator'></span=
></span><![endif]--><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'>3<!--[if gte mso 9]><xml>
 <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005400=
6F0063003200340034003000390037003400360032000000</w:data>
</xml><![endif]--></span><!--[if supportFields]><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-element:field-end'></span></span><![endif]--></a><=
span
style=3D'font-size:11.0pt;line-height:200%;font-family:"Calibri","sans-seri=
f";
mso-fareast-font-family:"Times New Roman";mso-no-proof:yes'><o:p></o:p></sp=
an></p>

<p class=3DMsoToc2 style=3D'tab-stops:right dotted 467.5pt'><a href=3D"#_To=
c244097463"><span
style=3D'mso-no-proof:yes'>Marian Diamond</span><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-tab-count:1 dotted'>. </span></span><!--[if suppor=
tFields]><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-element:field-=
begin'></span>
PAGEREF _Toc244097463 \h <span style=3D'mso-element:field-separator'></span=
></span><![endif]--><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'>4<!--[if gte mso 9]><xml>
 <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005400=
6F0063003200340034003000390037003400360033000000</w:data>
</xml><![endif]--></span><!--[if supportFields]><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-element:field-end'></span></span><![endif]--></a><=
span
style=3D'font-size:11.0pt;line-height:200%;font-family:"Calibri","sans-seri=
f";
mso-fareast-font-family:"Times New Roman";mso-no-proof:yes'><o:p></o:p></sp=
an></p>

<p class=3DMsoToc2 style=3D'tab-stops:right dotted 467.5pt'><a href=3D"#_To=
c244097464"><span
style=3D'mso-no-proof:yes'>Veronique Izard</span><span style=3D'color:windo=
wtext;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-tab-count:1 dotted'>. </span></span><!--[if suppor=
tFields]><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-element:field-=
begin'></span>
PAGEREF _Toc244097464 \h <span style=3D'mso-element:field-separator'></span=
></span><![endif]--><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'>4<!--[if gte mso 9]><xml>
 <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005400=
6F0063003200340034003000390037003400360034000000</w:data>
</xml><![endif]--></span><!--[if supportFields]><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-element:field-end'></span></span><![endif]--></a><=
span
style=3D'font-size:11.0pt;line-height:200%;font-family:"Calibri","sans-seri=
f";
mso-fareast-font-family:"Times New Roman";mso-no-proof:yes'><o:p></o:p></sp=
an></p>

<p class=3DMsoToc1 style=3D'tab-stops:right dotted 467.5pt'><a href=3D"#_To=
c244097465"><span
style=3D'mso-no-proof:yes'>Methods, Examples, and Findings</span><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-tab-count:1 do=
tted'>. </span></span><!--[if supportFields]><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-element:field-=
begin'></span>
PAGEREF _Toc244097465 \h <span style=3D'mso-element:field-separator'></span=
></span><![endif]--><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'>5<!--[if gte mso 9]><xml>
 <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005400=
6F0063003200340034003000390037003400360035000000</w:data>
</xml><![endif]--></span><!--[if supportFields]><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-element:field-end'></span></span><![endif]--></a><=
span
style=3D'font-size:11.0pt;line-height:200%;font-family:"Calibri","sans-seri=
f";
mso-fareast-font-family:"Times New Roman";mso-no-proof:yes'><o:p></o:p></sp=
an></p>

<p class=3DMsoToc2 style=3D'tab-stops:right dotted 467.5pt'><a href=3D"#_To=
c244097466"><span
style=3D'mso-no-proof:yes'>Stanislas Dehaene</span><span style=3D'color:win=
dowtext;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-tab-count:1 dotted'>. </span></span><!--[if suppor=
tFields]><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-element:field-=
begin'></span>
PAGEREF _Toc244097466 \h <span style=3D'mso-element:field-separator'></span=
></span><![endif]--><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'>5<!--[if gte mso 9]><xml>
 <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005400=
6F0063003200340034003000390037003400360036000000</w:data>
</xml><![endif]--></span><!--[if supportFields]><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-element:field-end'></span></span><![endif]--></a><=
span
style=3D'font-size:11.0pt;line-height:200%;font-family:"Calibri","sans-seri=
f";
mso-fareast-font-family:"Times New Roman";mso-no-proof:yes'><o:p></o:p></sp=
an></p>

<p class=3DMsoToc2 style=3D'tab-stops:right dotted 467.5pt'><a href=3D"#_To=
c244097467"><span
style=3D'mso-no-proof:yes'>An Experiment with Mimi</span><span style=3D'col=
or:windowtext;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-tab-count:1 dotted'> </span></span><!--[if support=
Fields]><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-element:field-=
begin'></span>
PAGEREF _Toc244097467 \h <span style=3D'mso-element:field-separator'></span=
></span><![endif]--><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'>7<!--[if gte mso 9]><xml>
 <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005400=
6F0063003200340034003000390037003400360037000000</w:data>
</xml><![endif]--></span><!--[if supportFields]><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-element:field-end'></span></span><![endif]--></a><=
span
style=3D'font-size:11.0pt;line-height:200%;font-family:"Calibri","sans-seri=
f";
mso-fareast-font-family:"Times New Roman";mso-no-proof:yes'><o:p></o:p></sp=
an></p>

<p class=3DMsoToc1 style=3D'tab-stops:right dotted 467.5pt'><a href=3D"#_To=
c244097468"><span
style=3D'mso-no-proof:yes'>Conclusion</span><span style=3D'color:windowtext;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-tab-count:1 dotted'>. </span></span><!--[if suppor=
tFields]><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-element:field-=
begin'></span>
PAGEREF _Toc244097468 \h <span style=3D'mso-element:field-separator'></span=
></span><![endif]--><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'>8<!--[if gte mso 9]><xml>
 <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005400=
6F0063003200340034003000390037003400360038000000</w:data>
</xml><![endif]--></span><!--[if supportFields]><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-element:field-end'></span></span><![endif]--></a><=
span
style=3D'font-size:11.0pt;line-height:200%;font-family:"Calibri","sans-seri=
f";
mso-fareast-font-family:"Times New Roman";mso-no-proof:yes'><o:p></o:p></sp=
an></p>

<p class=3DMsoToc1 style=3D'tab-stops:right dotted 467.5pt'><a href=3D"#_To=
c244097469"><span
style=3D'mso-no-proof:yes'>Works Cited</span><span style=3D'color:windowtex=
t;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-tab-count:1 dotted'>. </span></span><!--[if suppor=
tFields]><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-element:field-=
begin'></span>
PAGEREF _Toc244097469 \h <span style=3D'mso-element:field-separator'></span=
></span><![endif]--><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'>10<!--[if gte mso 9]><xml>
 <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005400=
6F0063003200340034003000390037003400360039000000</w:data>
</xml><![endif]--></span><!--[if supportFields]><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-element:field-end'></span></span><![endif]--></a><=
span
style=3D'font-size:11.0pt;line-height:200%;font-family:"Calibri","sans-seri=
f";
mso-fareast-font-family:"Times New Roman";mso-no-proof:yes'><o:p></o:p></sp=
an></p>

<p class=3DMsoToc1 style=3D'tab-stops:right dotted 467.5pt'><a href=3D"#_To=
c244097470"><span
style=3D'mso-no-proof:yes'>Images Used</span><span style=3D'color:windowtex=
t;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-tab-count:1 dotted'>. </span></span><!--[if suppor=
tFields]><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'><span style=3D'mso-element:field-=
begin'></span>
PAGEREF _Toc244097470 \h <span style=3D'mso-element:field-separator'></span=
></span><![endif]--><span
style=3D'color:windowtext;display:none;mso-hide:screen;mso-no-proof:yes;
text-decoration:none;text-underline:none'>11<!--[if gte mso 9]><xml>
 <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000000E0000005F005400=
6F0063003200340034003000390037003400370030000000</w:data>
</xml><![endif]--></span><!--[if supportFields]><span style=3D'color:window=
text;
display:none;mso-hide:screen;mso-no-proof:yes;text-decoration:none;text-und=
erline:
none'><span style=3D'mso-element:field-end'></span></span><![endif]--></a><=
span
style=3D'font-size:11.0pt;line-height:200%;font-family:"Calibri","sans-seri=
f";
mso-fareast-font-family:"Times New Roman";mso-no-proof:yes'><o:p></o:p></sp=
an></p>

<p class=3DMsoNormal><!--[if supportFields]><span style=3D'mso-element:fiel=
d-end'></span><![endif]--><o:p>&nbsp;</o:p></p>

</div>

<span style=3D'font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:"Time=
s New Roman","serif";
mso-fareast-font-family:Calibri;mso-ansi-language:EN-US;mso-fareast-languag=
e:
EN-US;mso-bidi-language:AR-SA'><br clear=3Dall style=3D'page-break-before:a=
lways;
mso-break-type:section-break'>
</span>

<div class=3DSection2>

<p class=3DMsoNormal style=3D'line-height:normal'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'line-height:normal'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<div style=3D'mso-element:para-border-div;border:none;border-bottom:solid #=
0F6FC6 1.0pt;
padding:0in 0in 4.0pt 0in'>

<p class=3DMsoTitleCxSpFirst>Born to Count:</p>

<p class=3DMsoTitleCxSpLast>Inherent Abilities in Mathematics</p>

</div>

<h1><a name=3D"_Toc244097458">Introduction</a><span style=3D'mso-tab-count:=
1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></h1>

<p class=3DMsoNormal style=3D'margin-left:1.0in;text-indent:.5in'><span
style=3D'mso-no-proof:yes'><!--[if gte vml 1]><v:shape id=3D"Picture_x0020_=
1"
 o:spid=3D"_x0000_i1026" type=3D"#_x0000_t75" style=3D'width:159.75pt;heigh=
t:134.25pt;
 visibility:visible'>
 <v:imagedata src=3D"Pati_files/image006.png" o:title=3D""/>
</v:shape><![endif]--><![if !vml]><img width=3D213 height=3D179
src=3D"Pati_files/image007.jpg" v:shapes=3D"Picture_x0020_1"><![endif]></sp=
an></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in;text-indent:.5in'><o:p>&nbs=
p;</o:p></p>

<p class=3DMsoNormal style=3D'text-indent:.5in'>Are numbers a part of who w=
e are,
how our brains are wired?<span style=3D'mso-spacerun:yes'>&nbsp; </span>Or =
do we
learn mathematics as a part of our survival skills?<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Many could argue that performing
calculations is as anxiety provoking as having a root canal.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>These same people would also argue=
 that
an intuition and aptitude for math was never part of the &#8220;standard
equipment&#8221; of their brains.<span style=3D'mso-spacerun:yes'>&nbsp;
</span>Fortunately, psychologists and neuroscientists are doing research to
prove to the math-phobic masses as well as the educational community that an
intuition for numbers does indeed exist as a part of a core knowledge
pre-programmed into the healthy human brain.<a style=3D'mso-footnote-id:ftn=
1'
href=3D"#_ftn1" name=3D"_ftnref1" title=3D""><span class=3DMsoFootnoteRefer=
ence><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:12.0pt;mso-bidi-font-=
size:
11.0pt;line-height:200%;font-family:"Times New Roman","serif";mso-fareast-f=
ont-family:
Calibri;mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-languag=
e:
AR-SA'>[1]</span></span><![endif]></span></span></a></p>

<p class=3DMsoNormal style=3D'text-indent:.5in'><o:p>&nbsp;</o:p></p>

<h1><a name=3D"_Toc244097459">Theories</a></h1>

<h2><!--[if gte vml 1]><v:shapetype id=3D"_x0000_t202" coordsize=3D"21600,2=
1600"
 o:spt=3D"202" path=3D"m,l,21600r21600,l21600,xe">
 <v:stroke joinstyle=3D"miter"/>
 <v:path gradientshapeok=3D"t" o:connecttype=3D"rect"/>
</v:shapetype><v:shape id=3D"_x0000_s1055" type=3D"#_x0000_t202" style=3D'p=
osition:absolute;
 margin-left:0;margin-top:61.6pt;width:105.75pt;height:132.75pt;z-index:-7;
 mso-position-horizontal:left;mso-position-horizontal-relative:margin;
 mso-position-vertical-relative:margin;mso-width-relative:margin;
 mso-height-relative:margin' wrapcoords=3D"-153 -122 -153 21478 21753 21478=
 21753 -122 -153 -122">
 <v:textbox>
  <![if !mso]>
  <table cellpadding=3D0 cellspacing=3D0 width=3D"100%">
   <tr>
    <td><![endif]>
    <div>
    <p class=3DMsoNormal><span style=3D'mso-no-proof:yes'><v:shape id=3D"Pi=
cture_x0020_17"
     o:spid=3D"_x0000_i1028" type=3D"#_x0000_t75" style=3D'width:93pt;heigh=
t:114pt;
     visibility:visible'>
     <v:imagedata src=3D"Pati_files/image008.png" o:title=3D""/>
    </v:shape></span><span class=3DMsoFootnoteReference>Jean Piaget</span><=
/p>
    <p class=3DMsoNormal><o:p>&nbsp;</o:p></p>
    </div>
    <![if !mso]></td>
   </tr>
  </table>
  <![endif]></v:textbox>
 <w:wrap type=3D"square" anchorx=3D"margin" anchory=3D"margin"/>
</v:shape><![endif]--><![if !vml]><img width=3D147 height=3D183
src=3D"Pati_files/image009.gif" align=3Dleft hspace=3D12
alt=3D"Text Box:  Jean Piaget&#13;&#10;&#13;&#10;" v:shapes=3D"_x0000_s1055=
"><![endif]><a
name=3D"_Toc244097460">Jean Piaget</a></h2>

<p class=3DMsoNormal style=3D'text-indent:.5in'>In the earlier part of the =
20<sup>th</sup>
century, Swiss psychologist Jean Piaget believed that all infants were born
with a brain that is a &#8220;blank slate.&#8221;<span
style=3D'mso-spacerun:yes'>&nbsp; </span>He believed that absolutely everyt=
hing
the infant learned was constructed logically as he aged.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Current theories are far more exci=
ting.<a
style=3D'mso-footnote-id:ftn2' href=3D"#_ftn2" name=3D"_ftnref2" title=3D""=
><span
class=3DMsoFootnoteReference><span style=3D'mso-special-character:footnote'=
><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:12.0pt;mso-bidi-font-=
size:
11.0pt;line-height:200%;font-family:"Times New Roman","serif";mso-fareast-f=
ont-family:
Calibri;mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-languag=
e:
AR-SA'>[2]</span></span><![endif]></span></span></a><span
style=3D'mso-spacerun:yes'>&nbsp; </span></p>

<h2><!--[if gte vml 1]><v:shape id=3D"_x0000_s1056" type=3D"#_x0000_t202" s=
tyle=3D'position:absolute;
 margin-left:0;margin-top:37.15pt;width:113.6pt;height:142.55pt;z-index:-6;
 mso-position-horizontal:left;mso-width-relative:margin;mso-height-relative=
:margin'
 wrapcoords=3D"-143 -114 -143 21486 21743 21486 21743 -114 -143 -114">
 <v:textbox style=3D'mso-next-textbox:#_x0000_s1056'>
  <![if !mso]>
  <table cellpadding=3D0 cellspacing=3D0 width=3D"100%">
   <tr>
    <td><![endif]>
    <div>
    <p class=3DMsoNormal style=3D'line-height:normal'><span style=3D'mso-no=
-proof:
    yes'><v:shape id=3D"Picture_x0020_11" o:spid=3D"_x0000_i1029" type=3D"#=
_x0000_t75"
     style=3D'width:94.5pt;height:118.5pt;visibility:visible'>
     <v:imagedata src=3D"Pati_files/image010.png" o:title=3D""/>
    </v:shape></span><span class=3DMsoFootnoteReference><span style=3D'mso-=
bidi-font-size:
    12.0pt'><span style=3D'mso-spacerun:yes'>&nbsp;</span></span></span><sp=
an
    style=3D'mso-bidi-font-size:12.0pt'><o:p></o:p></span></p>
    <p class=3DMsoNormal style=3D'line-height:normal'><span style=3D'font-s=
ize:8.0pt'>Jerry
    Fodor<o:p></o:p></span></p>
    </div>
    <![if !mso]></td>
   </tr>
  </table>
  <![endif]></v:textbox>
 <w:wrap type=3D"square"/>
</v:shape><![endif]--><![if !vml]><img width=3D157 height=3D196
src=3D"Pati_files/image011.gif" align=3Dleft hspace=3D12
alt=3D"Text Box:   &#13;&#10;Jerry Fodor&#13;&#10;" v:shapes=3D"_x0000_s105=
6"><![endif]><a
name=3D"_Toc244097461">Jerry Fodor</a></h2>

<p class=3DMsoNormal style=3D'text-indent:.5in'><span
style=3D'mso-spacerun:yes'>&nbsp;</span>Jerry Fodor, an American philosophe=
r/cognitive
scientist, who has done considerable research on human cognition, believes =
that
there are two separate sets of cognitive abilities.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>He calls the first set the
&#8220;cognitive module&#8221; in which highly specialized cognitive abilit=
ies
exist.<span style=3D'mso-spacerun:yes'>&nbsp; </span>In this module, specia=
lized
information is processed automatically.<span style=3D'mso-spacerun:yes'>&nb=
sp;
</span>For example, <i style=3D'mso-bidi-font-style:normal'>cognitive modul=
es</i>
allow us to see color.<span style=3D'mso-spacerun:yes'>&nbsp; </span>We
don&#8217;t need to learn to see color; this ability comes to us naturally.=
 And
though we have to learn languages and alphabet, work out how to process the
letters, and string them into words to find meaning; reading is part of a b=
asic
component that Fodor believes we are born with.<span
style=3D'mso-spacerun:yes'>&nbsp; </span></p>

<p class=3DMsoNormal style=3D'text-indent:.5in'>Conversely, <i style=3D'mso=
-bidi-font-style:
normal'>central processes</i> move slowly and operate by will.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>We aren&#8217;t born with them, ra=
ther
we learn these processes.<span style=3D'mso-spacerun:yes'>&nbsp; </span>Fod=
or
feels that though we are born with the circuitry to perform tasks like typi=
ng and
painting we still have to decide to develop and use these skills.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>They aren&#8217;t automatic brain
tasks.<span style=3D'mso-spacerun:yes'>&nbsp; </span>He also believes that =
memory
and reasoning are <i style=3D'mso-bidi-font-style:normal'>central processes=
</i>.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>We decide what to remember and how=
 to
reason.</p>

<p class=3DMsoNormal style=3D'text-indent:.5in'>Since reasoning and memory =
are
critical to performing mathematical calculations, these skills are consider=
ed a
function of <i style=3D'mso-bidi-font-style:normal'>central processing</i> =
in the
brain. Understanding and manipulating numbers is a much more challenging ta=
sk
than seeing color.<span style=3D'mso-spacerun:yes'>&nbsp; </span>In order to
master mathematics, we are required to study &#8211; a much more complex br=
ain
activity than what is exercised in <i style=3D'mso-bidi-font-style:normal'>=
cognitive
module</i> thinking.<a style=3D'mso-footnote-id:ftn3' href=3D"#_ftn3"
name=3D"_ftnref3" title=3D""><span class=3DMsoFootnoteReference><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:12.0pt;mso-bidi-font-=
size:
11.0pt;line-height:200%;font-family:"Times New Roman","serif";mso-fareast-f=
ont-family:
Calibri;mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-languag=
e:
AR-SA'>[3]</span></span><![endif]></span></span></a></p>

<h2><!--[if gte vml 1]><v:shape id=3D"_x0000_s1057" type=3D"#_x0000_t202" s=
tyle=3D'position:absolute;
 margin-left:0;margin-top:14.8pt;width:112.95pt;height:136.5pt;z-index:-5;
 mso-position-horizontal:left;mso-width-relative:margin;mso-height-relative=
:margin'
 wrapcoords=3D"-129 -109 -129 21491 21729 21491 21729 -109 -129 -109">
 <v:textbox>
  <![if !mso]>
  <table cellpadding=3D0 cellspacing=3D0 width=3D"100%">
   <tr>
    <td><![endif]>
    <div>
    <p class=3DMsoNormal style=3D'line-height:normal'><span style=3D'mso-no=
-proof:
    yes'><v:shape id=3D"Picture_x0020_14" o:spid=3D"_x0000_i1030" type=3D"#=
_x0000_t75"
     style=3D'width:102pt;height:117.75pt;visibility:visible'>
     <v:imagedata src=3D"Pati_files/image012.png" o:title=3D""/>
    </v:shape></span></p>
    <p class=3DMsoNormal><span style=3D'font-size:8.0pt;line-height:200%'>B=
rian
    Butterworth<o:p></o:p></span></p>
    <p class=3DMsoNormal><o:p>&nbsp;</o:p></p>
    <p class=3DMsoNormal>Brian</p>
    </div>
    <![if !mso]></td>
   </tr>
  </table>
  <![endif]></v:textbox>
 <w:wrap type=3D"square"/>
</v:shape><![endif]--><![if !vml]><img width=3D157 height=3D188
src=3D"Pati_files/image013.gif" align=3Dleft hspace=3D12
alt=3D"Text Box:  &#13;&#10;Brian Butterworth&#13;&#10;&#13;&#10;Brian&#13;=
&#10;"
v:shapes=3D"_x0000_s1057"><![endif]><a name=3D"_Toc244097462">Brian Butterw=
orth</a></h2>

<p class=3DMsoNormal><span style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Brian
Butterworth, a British cognitive neuroscientist, disputes Fodor&#8217;s
findings.<span style=3D'mso-spacerun:yes'>&nbsp; </span>He states that numb=
er use
is so widespread that we must all be born with a &#8220;Number Module&#8221=
; or
a &#8220;Mathematical Brain.&#8221;<span style=3D'mso-spacerun:yes'>&nbsp;
</span>Butterworth believes that we are all born with the ability to see and
process our worlds in numbers, expanding our mathematical capacity with a g=
ood
educational experience and by applying ourselves to learning.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Additionally, he believes that num=
erical
abilities could be tied to linguistic and memorization abilities in the bra=
in,
enlisting the area of the brain designed to hold information in our short-t=
erm
working memory and control our reasoning ability.<a style=3D'mso-footnote-i=
d:
ftn4' href=3D"#_ftn4" name=3D"_ftnref4" title=3D""><span class=3DMsoFootnot=
eReference><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:12.0pt;mso-bidi-font-=
size:
11.0pt;line-height:200%;font-family:"Times New Roman","serif";mso-fareast-f=
ont-family:
Calibri;mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-languag=
e:
AR-SA'>[4]</span></span><![endif]></span></span></a></p>

<h2><!--[if gte vml 1]><v:shape id=3D"_x0000_s1058" type=3D"#_x0000_t202" s=
tyle=3D'position:absolute;
 margin-left:0;margin-top:9.35pt;width:113.35pt;height:148.85pt;z-index:2;
 mso-position-horizontal:left;mso-width-relative:margin;mso-height-relative=
:margin'>
 <v:textbox style=3D'mso-next-textbox:#_x0000_s1058'>
  <![if !mso]>
  <table cellpadding=3D0 cellspacing=3D0 width=3D"100%">
   <tr>
    <td><![endif]>
    <div>
    <p class=3DMsoNormal style=3D'line-height:normal'><span style=3D'mso-no=
-proof:
    yes'><v:shape id=3D"_x0000_i1031" type=3D"#_x0000_t75" style=3D'width:9=
2.25pt;
     height:125.25pt;visibility:visible'>
     <v:imagedata src=3D"Pati_files/image014.png" o:title=3D""/>
    </v:shape></span></p>
    <p class=3DMsoNormal style=3D'line-height:normal'><span style=3D'font-s=
ize:8.0pt'>Marian
    Diamond<o:p></o:p></span></p>
    </div>
    <![if !mso]></td>
   </tr>
  </table>
  <![endif]></v:textbox>
 <w:wrap type=3D"square"/>
</v:shape><![endif]--><![if !vml]><img width=3D157 height=3D205
src=3D"Pati_files/image015.gif" align=3Dleft hspace=3D12
alt=3D"Text Box:  &#13;&#10;Marian Diamond&#13;&#10;" v:shapes=3D"_x0000_s1=
058"><![endif]><a
name=3D"_Toc244097463">Marian Diamond</a></h2>

<p class=3DMsoNormal style=3D'mso-pagination:none;page-break-after:avoid'><=
span
style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp; </span>Several
years ago researchers rediscovered Einstein&#8217;s brain.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>One of the researchers was a noted
neuroanatomist from U. C. Berkeley, Dr. Marian Diamond.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>When studying Einstein&#8217;s bra=
in she
found that Einstein&#8217;s left parietal lobe had more densely packed glial
cells than an average brain.<span style=3D'mso-spacerun:yes'>&nbsp; </span>=
It was
originally thought that some people were genetically blessed with a greater
number of cells in the parietal lobe; however Dr. Diamond believes that this
increased ratio of neurons was a result of Einstein&#8217;s judicious use of
his reasoning and thinking skills. This gives fuel to the argument that wor=
king
with mathematics could create a greater number of neurons in the parietal l=
obe
of the brain.<a style=3D'mso-footnote-id:ftn5' href=3D"#_ftn5" name=3D"_ftn=
ref5"
title=3D""><span class=3DMsoFootnoteReference><span style=3D'mso-special-ch=
aracter:
footnote'><![if !supportFootnotes]><span class=3DMsoFootnoteReference><span
style=3D'font-size:12.0pt;mso-bidi-font-size:11.0pt;line-height:200%;font-f=
amily:
"Times New Roman","serif";mso-fareast-font-family:Calibri;mso-ansi-language:
EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'>[5]</span></span>=
<![endif]></span></span></a></p>

<h2><!--[if gte vml 1]><v:shape id=3D"_x0000_s1059" type=3D"#_x0000_t202" s=
tyle=3D'position:absolute;
 margin-left:0;margin-top:41pt;width:137.35pt;height:102pt;z-index:-4;
 mso-position-horizontal:left;mso-width-relative:margin;mso-height-relative=
:margin'
 wrapcoords=3D"-118 -159 -118 21441 21718 21441 21718 -159 -118 -159">
 <v:textbox style=3D'mso-next-textbox:#_x0000_s1059'>
  <![if !mso]>
  <table cellpadding=3D0 cellspacing=3D0 width=3D"100%">
   <tr>
    <td><![endif]>
    <div>
    <p class=3DMsoNormal style=3D'line-height:normal'><span style=3D'mso-no=
-proof:
    yes'><v:shape id=3D"Picture_x0020_20" o:spid=3D"_x0000_i1032" type=3D"#=
_x0000_t75"
     style=3D'width:122.25pt;height:81.75pt;visibility:visible'>
     <v:imagedata src=3D"Pati_files/image016.png" o:title=3D""/>
    </v:shape></span></p>
    <p class=3DMsoNormal><span style=3D'font-size:8.0pt;line-height:200%'>V=
eronique
    Izard<o:p></o:p></span></p>
    <p class=3DMsoNormal style=3D'line-height:normal'><o:p>&nbsp;</o:p></p>
    </div>
    <![if !mso]></td>
   </tr>
  </table>
  <![endif]></v:textbox>
 <w:wrap type=3D"square"/>
</v:shape><![endif]--><![if !vml]><img width=3D189 height=3D142
src=3D"Pati_files/image017.gif" align=3Dleft hspace=3D12
alt=3D"Text Box:  &#13;&#10;Veronique Izard&#13;&#10;&#13;&#10;" v:shapes=
=3D"_x0000_s1059"><![endif]><a
name=3D"_Toc244097464">Veronique Izard</a></h2>

<p class=3DMsoNormal style=3D'mso-pagination:none;page-break-after:avoid'><=
span
style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp; </span>Harvard
neuroscientist, Veronique Izard, recently discovered that infants as young =
as
3-monthsof age show signs of very distinct neural pathways that allow them =
to
distinguish the number of objects and the identity of objects.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>She believes that there is a neural
&#8220;where and how&#8221; network and a separate &#8220;what&#8221; netwo=
rk
that correspond to the same networks in adult </p>

<p class=3DMsoNormal style=3D'mso-pagination:none;page-break-after:avoid'>b=
rains.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>These findings destroy the myth th=
at
changes in infant awareness of object and number are simply a result of a
baby&#8217;s getting bored.<a style=3D'mso-footnote-id:ftn6' href=3D"#_ftn6"
name=3D"_ftnref6" title=3D""><span class=3DMsoFootnoteReference><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:12.0pt;mso-bidi-font-=
size:
11.0pt;line-height:200%;font-family:"Times New Roman","serif";mso-fareast-f=
ont-family:
Calibri;mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-languag=
e:
AR-SA'>[6]</span></span><![endif]></span></span></a> </p>

<h1><a name=3D"_Toc244097465">Methods, Examples, and Findings</a></h1>

<h2><!--[if gte vml 1]><v:shape id=3D"_x0000_s1060" type=3D"#_x0000_t202" s=
tyle=3D'position:absolute;
 margin-left:0;margin-top:10.4pt;width:115.05pt;height:153.65pt;z-index:-3;
 mso-position-horizontal:left;mso-width-relative:margin;mso-height-relative=
:margin'
 wrapcoords=3D"-87 -460 -87 21140 21687 21140 21687 -460 -87 -460">
 <v:textbox>
  <![if !mso]>
  <table cellpadding=3D0 cellspacing=3D0 width=3D"100%">
   <tr>
    <td><![endif]>
    <div>
    <p class=3DMsoNormal style=3D'line-height:normal'><span style=3D'mso-no=
-proof:
    yes'><v:shape id=3D"Picture_x0020_23" o:spid=3D"_x0000_i1033" type=3D"#=
_x0000_t75"
     style=3D'width:108pt;height:132.75pt;visibility:visible'>
     <v:imagedata src=3D"Pati_files/image018.png" o:title=3D""/>
    </v:shape></span></p>
    <p class=3DMsoNormal style=3D'line-height:normal'><span style=3D'font-s=
ize:8.0pt'>Stanislas
    Dehaene<o:p></o:p></span></p>
    </div>
    <![if !mso]></td>
   </tr>
  </table>
  <![endif]></v:textbox>
 <w:wrap type=3D"square"/>
</v:shape><![endif]--><![if !vml]><img width=3D159 height=3D211
src=3D"Pati_files/image019.gif" align=3Dleft hspace=3D12
alt=3D"Text Box:  &#13;&#10;Stanislas Dehaene&#13;&#10;" v:shapes=3D"_x0000=
_s1060"><![endif]><a
name=3D"_Toc244097466">Stanislas Dehaene</a></h2>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Stanislas D=
ehaene is
a French neuroscientist who has recently completed a comprehensive study of
mathematical aptitude in infants, primates, and cultures with limited &#822=
0;number
words.&#8221; <span style=3D'mso-spacerun:yes'>&nbsp;</span>Dehaene believe=
s that
we show early signs of number intuition as infants and it is from this
intuition that our mathematical knowledge is built. Dehaene believes that
&#8220;the term &#8216;intuition&#8217;&#8230;is fast, automatic, and
inaccessible to introspection.&#8221; (233).<a style=3D'mso-footnote-id:ftn=
7'
href=3D"#_ftn7" name=3D"_ftnref7" title=3D""><span class=3DMsoFootnoteRefer=
ence><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:12.0pt;mso-bidi-font-=
size:
11.0pt;line-height:200%;font-family:"Times New Roman","serif";mso-fareast-f=
ont-family:
Calibri;mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-languag=
e:
AR-SA'>[7]</span></span><![endif]></span></span></a></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>In
his studies he breaks down elementary math into two aspects: The first aspe=
ct
is &#8220;Symbolic.&#8221;<span style=3D'mso-spacerun:yes'>&nbsp; </span>Sy=
mbolic
arithmetic corresponds with how numbers and &#8220;number words&#8221; are
manipulated. &#8220;Nonsymbolic&#8221; arithmetic relates to how we underst=
and
the amount of items within groups of objects.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>He believes that the &#8220;nonsym=
bolic&#8221;
arithmetic is at the root of our mathematical knowledge.<a style=3D'mso-foo=
tnote-id:
ftn8' href=3D"#_ftn8" name=3D"_ftnref8" title=3D""><span class=3DMsoFootnot=
eReference><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:12.0pt;mso-bidi-font-=
size:
11.0pt;line-height:200%;font-family:"Times New Roman","serif";mso-fareast-f=
ont-family:
Calibri;mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-languag=
e:
AR-SA'>[8]</span></span><![endif]></span></span></a></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Dehaene
proved his theory with infants between the ages of 8 and 12 weeks old. Each=
 infant
was hooked up to a brain-monitoring device.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>While sitting on his mother&#8217;=
s lap
in front of a computer screen, the baby viewed images of 8 ducks.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>These images were shown at repeated
intervals until the monitoring device indicated the baby was becoming
bored.<span style=3D'mso-spacerun:yes'>&nbsp; </span>Next, the computer sho=
wed
images of 8 trucks at the same repeated intervals. When the image changed f=
rom
ducks to trucks, the researchers found a boost in activity in the temporal
lobe.<span style=3D'mso-spacerun:yes'>&nbsp; </span>But very quickly the ba=
bies grew
bored of the images of 8 trucks as well.<span style=3D'mso-spacerun:yes'>&n=
bsp;
</span>For the final step of the experiment, truck images flashed before the
infants, however the number of trucks changed from 8 to 16.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>This time the researchers were sur=
prised
to see that a spike in activity in the parietal lobe occurred as a result of
the change of quantity.<span style=3D'mso-spacerun:yes'>&nbsp; </span>This
experiment proved Dehaene&#8217;s &#8220;nonsymbolic arithmetic&#8221; theo=
ry,
indicating that infants have an inherent intuition for numbers. The temporal
lobe registered the &#8220;what&#8221; while the parietal lobe registered t=
he change
in quantity.<span style=3D'mso-spacerun:yes'>&nbsp; </span>While neuroscien=
tists
originally believed the comprehension of changes in objects and amounts sho=
wn
to infants simply showed their ability to grab and hold their attention,
Dehaene&#8217;s study shows that there is a designated part of infants&#821=
7;
brains that specifically processes quantities.<a style=3D'mso-footnote-id:f=
tn9'
href=3D"#_ftn9" name=3D"_ftnref9" title=3D""><span class=3DMsoFootnoteRefer=
ence><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:12.0pt;mso-bidi-font-=
size:
11.0pt;line-height:200%;font-family:"Times New Roman","serif";mso-fareast-f=
ont-family:
Calibri;mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-languag=
e:
AR-SA'>[9]</span></span><![endif]></span></span></a></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Not
only does this prove the intuition for numbers, but also proves that babies
possess a sense of logarithms and connect with quantities in a logarithmic
sense.<span style=3D'mso-spacerun:yes'>&nbsp; </span>This is entirely diffe=
rent
than the way an adult connects with numbers.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Adults think of numbers in an
incremental sense.<span style=3D'mso-spacerun:yes'>&nbsp; </span>The differ=
ence
between 10 and 11 to an adult is very small.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>While the difference between 10 an=
d 11
is nonexistent to an infant, but the difference between 1 and 2 to them is
immense &#8211; they understand that the amount is <i style=3D'mso-bidi-fon=
t-style:
normal'>double</i>.<a style=3D'mso-footnote-id:ftn10' href=3D"#_ftn10"
name=3D"_ftnref10" title=3D""><span class=3DMsoFootnoteReference><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:12.0pt;mso-bidi-font-=
size:
11.0pt;line-height:200%;font-family:"Times New Roman","serif";mso-fareast-f=
ont-family:
Calibri;mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-languag=
e:
AR-SA'>[10]</span></span><![endif]></span></span></a><span
style=3D'mso-spacerun:yes'>&nbsp; </span></p>

<p class=3DMsoNormal><span style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Dehaene
did further studies with Amazonian groups.<span style=3D'mso-spacerun:yes'>=
&nbsp;
</span>One such group only had number-names up to 5.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>The experiment required these peop=
le to
find the midpoint between the numbers 1 and 9.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>To do this Dehaene showed the study
participants a picture that looked something like this:</p>

<p class=3DMsoNormal><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;
</span><!--[if mso & !supportInlineShapes & supportFields]><span
style=3D'mso-element:field-begin;mso-field-lock:yes'></span><span
style=3D'mso-spacerun:yes'>&nbsp;</span>SHAPE <span
style=3D'mso-spacerun:yes'>&nbsp;</span>\* MERGEFORMAT <span style=3D'mso-e=
lement:
field-separator'></span><![endif]--><!--[if gte vml 1]><v:group id=3D"_x000=
0_s1040"
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</v:group><![endif]--><![if !vml]><img width=3D504 height=3D312
src=3D"Pati_files/image020.gif" v:shapes=3D"_x0000_s1040 _x0000_s1041 _x000=
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<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b style=3D=
'mso-bidi-font-weight:
normal'>What is the midpoint between 1 and 9?<o:p></o:p></b></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal>He then asked the participants to tell him what number
represented the midpoint between 1 and 9.<span style=3D'mso-spacerun:yes'>&=
nbsp;
</span>You and I would easily say that the midpoint is 5.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>However the researchers were surpr=
ised
to find that the Amazonian group, without hesitation, said the midpoint was
3.<span style=3D'mso-spacerun:yes'>&nbsp; </span>They reasoned that they co=
uld
count by threes: 3 x 3 =3D 9 or 3 is to 1 as 9 is to 3.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>These people see numbers algorithm=
ically.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>This shows us that even individual=
s without
formal educations can develop significant and sophisticated mathematical
vocabulary and perform all necessary expressions to work efficiently within=
 a
culture.</p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<h2><a name=3D"_Toc244097467">An Experiment with Mimi</a></h2>

<p class=3DMsoNormal style=3D'text-indent:.5in'>Finally, Harvard Psychology
Professor, Susan Carey performed a simple test with a two-year-old.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>In this test she gives the child a=
 bunch
of pennies and asks them to give her specific amounts.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>She finds that toddlers indeed hav=
e a
sense of numbers, however the number sequence seems to be: 1, 2, a
bunch&#8230;.<a style=3D'mso-footnote-id:ftn11' href=3D"#_ftn11" name=3D"_f=
tnref11"
title=3D""><span class=3DMsoFootnoteReference><span style=3D'mso-special-ch=
aracter:
footnote'><![if !supportFootnotes]><span class=3DMsoFootnoteReference><span
style=3D'font-size:12.0pt;mso-bidi-font-size:11.0pt;line-height:200%;font-f=
amily:
"Times New Roman","serif";mso-fareast-font-family:Calibri;mso-ansi-language:
EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'>[11]</span></span=
><![endif]></span></span></a><span
style=3D'mso-spacerun:yes'>&nbsp; </span><span
style=3D'mso-spacerun:yes'>&nbsp;</span>I decided to perform this experiment
myself.<span style=3D'mso-spacerun:yes'>&nbsp; </span></p>

<p class=3DMsoNormal style=3D'text-indent:.5in'>I placed about 20 pennies o=
n a
table and asked my 22-month-old friend, Mimi, to give me one penny.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>She quickly picked up one penny and
handed it to me.<span style=3D'mso-spacerun:yes'>&nbsp; </span>Then I asked=
 her
to give me two pennies, and she handed me two pennies.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>But when I asked her to hand me 3
pennies she grabbed a handful of pennies and proudly handed them all to
me.<span style=3D'mso-spacerun:yes'>&nbsp; </span>According to Carey, child=
ren
usually grasp the concept of numbers over &#8220;1&#8221; at about the age =
of 18
months.<span style=3D'mso-spacerun:yes'>&nbsp; </span>By 3&frac12; years of=
 age
they often begin counting, but only because adults count to them; to childr=
en at
this age, numbers are just words.<span style=3D'mso-spacerun:yes'>&nbsp; </=
span></p>

<h1><a name=3D"_Toc244097468">Conclusion</a></h1>

<p class=3DMsoNormal style=3D'mso-pagination:none;page-break-after:avoid'>W=
here we
once thought infants&#8217; brains were &#8220;blank slates,&#8221; we now =
know
that the average brain comes equipped with an intuition for quantity. <span
style=3D'mso-spacerun:yes'>&nbsp;</span>In fact, babies have vastly more ne=
uron
connections with which to build on than do adults.<a style=3D'mso-footnote-=
id:
ftn12' href=3D"#_ftn12" name=3D"_ftnref12" title=3D""><span
class=3DMsoFootnoteReference><span style=3D'mso-special-character:footnote'=
><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:12.0pt;mso-bidi-font-=
size:
11.0pt;line-height:200%;font-family:"Times New Roman","serif";mso-fareast-f=
ont-family:
Calibri;mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-languag=
e:
AR-SA'>[12]</span></span><![endif]></span></span></a><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp; </span>Numbers in all cultures and
throughout the ages are invented and foreign, however we are born with brai=
ns
that hold the intuitive capacity to build on numbers in extremely complex w=
ays.
We know that infants can respond to amounts of objects in their world long
before they can count, communicate verbally, reason, or even manipulate
objects.<a style=3D'mso-footnote-id:ftn13' href=3D"#_ftn13" name=3D"_ftnref=
13"
title=3D""><span class=3DMsoFootnoteReference><span style=3D'mso-special-ch=
aracter:
footnote'><![if !supportFootnotes]><span class=3DMsoFootnoteReference><span
style=3D'font-size:12.0pt;mso-bidi-font-size:11.0pt;line-height:200%;font-f=
amily:
"Times New Roman","serif";mso-fareast-font-family:Calibri;mso-ansi-language:
EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'>[13]</span></span=
><![endif]></span></span></a>
<span style=3D'mso-spacerun:yes'>&nbsp;</span>Researchers have proven that
infants react intuitively to their surroundings, these intuitions create ne=
ural
structures that are reliant on environmental stimulation to grow.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Once toddlers learn number words a=
nd
counting they begin to build on their skills pulling from their inherent
intuitions.<span style=3D'mso-spacerun:yes'>&nbsp; </span>Additionally, var=
ying
neuroscientific theories tell us that number concepts not only live in our
brains, but have strong foundation from the very beginning of life.<a
style=3D'mso-footnote-id:ftn14' href=3D"#_ftn14" name=3D"_ftnref14" title=
=3D""><span
class=3DMsoFootnoteReference><span style=3D'mso-special-character:footnote'=
><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:12.0pt;mso-bidi-font-=
size:
11.0pt;line-height:200%;font-family:"Times New Roman","serif";mso-fareast-f=
ont-family:
Calibri;mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-languag=
e:
AR-SA'>[14]</span></span><![endif]></span></span></a><span
style=3D'mso-spacerun:yes'>&nbsp; </span></p>

<p class=3DMsoNormal style=3D'mso-pagination:none;page-break-after:avoid'><=
o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'text-indent:.5in;mso-pagination:none;page-bre=
ak-after:
avoid'>Perhaps Albert Einstein described our mathematical intuition best in=
 this
introspective quote about his own thinking processes:</p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal style=3D'margin-left:.5in'><i style=3D'mso-bidi-font-s=
tyle:normal'>&#8220;Words
of language, whether spoken or written, do not seem to play any role in my
thinking mechanisms.<span style=3D'mso-spacerun:yes'>&nbsp; </span>The ment=
al
entities that serve as elements of my thought are certain signs or images, =
more
or less clear, that can &#8216;at will&#8217; be reproduced or combined.&#8=
221;<a
style=3D'mso-footnote-id:ftn15' href=3D"#_ftn15" name=3D"_ftnref15" title=
=3D""><span
class=3DMsoFootnoteReference><span style=3D'mso-special-character:footnote'=
><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><b style=3D'mso-bidi-font-weight:normal'><span
style=3D'font-size:12.0pt;mso-bidi-font-size:11.0pt;line-height:200%;font-f=
amily:
"Times New Roman","serif";mso-fareast-font-family:Calibri;mso-ansi-language:
EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'>[15]</span></b></=
span><![endif]></span></span></a><o:p></o:p></i></p>

<p class=3DMsoNormal style=3D'line-height:normal'><!--[if gte vml 1]><o:wra=
pblock><v:shape
  id=3D"_x0000_s1061" type=3D"#_x0000_t202" style=3D'position:absolute;marg=
in-left:0;
  margin-top:.5pt;width:173.35pt;height:186.25pt;z-index:3;
  mso-position-horizontal:center;mso-width-relative:margin;
  mso-height-relative:margin'/>
 <![endif]--><![if !vml]><span style=3D'mso-ignore:vglayout'>
 <table cellpadding=3D0 cellspacing=3D0 align=3Dleft>
  <tr>
   <td width=3D0 height=3D0></td>
  </tr>
  <tr>
   <td></td>
   <td width=3D237 height=3D254 bgcolor=3Dwhite style=3D'border:.75pt solid=
 black;
   vertical-align:top;background:white'><![endif]><![if !mso]><span
   style=3D'position:absolute;mso-ignore:vglayout;z-index:3'>
   <table cellpadding=3D0 cellspacing=3D0 width=3D"100%">
    <tr>
     <td><![endif]>
     <div v:shape=3D"_x0000_s1061" style=3D'padding:4.35pt 7.95pt 4.35pt 7.=
95pt'
     class=3Dshape>
     <p class=3DMsoNormal style=3D'line-height:normal'><span style=3D'mso-n=
o-proof:
     yes'><!--[if gte vml 1]><v:shape id=3D"Picture_x0020_26" o:spid=3D"_x0=
000_i1034"
      type=3D"#_x0000_t75" style=3D'width:158.25pt;height:165pt;visibility:=
visible'>
      <v:imagedata src=3D"Pati_files/image021.png" o:title=3D""/>
     </v:shape><![endif]--><![if !vml]><img width=3D211 height=3D220
     src=3D"Pati_files/image022.jpg" v:shapes=3D"Picture_x0020_26"><![endif=
]></span></p>
     <p class=3DMsoNormal align=3Dcenter style=3D'text-align:center;line-he=
ight:normal'><span
     style=3D'font-size:8.0pt'>Albert Einstein<o:p></o:p></span></p>
     </div>
     <![if !mso]></td>
    </tr>
   </table>
   </span><![endif]><![if !mso & !vml]>&nbsp;<![endif]><![if !vml]></td>
  </tr>
 </table>
 </span><![endif]><!--[if gte vml 1]></o:wrapblock><![endif]--><br clear=3D=
all
style=3D'mso-special-character:line-break;page-break-before:always'>
<o:p>&nbsp;</o:p></p>

<br style=3D'mso-ignore:vglayout' clear=3DALL>

<h1><a name=3D"_Toc244097469">Works Cited</a> </h1>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'>Bower, Bruce. &#8220;Tots Who Tote: Babies Show Neural Si=
gns
of Budding Number Sense.&#8221; <i>Science News</i> 9 Feb. 2008: 84-85. <i>=
Gale.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Mission College Library</i>. Web. =
4 Oct.
2009. &lt;http://0-find.galegroup.com.library.wvmccd.cc.ca.us/&#8204;gtx/&#=
8204;start.do?prodId=3DGRGM&gt;.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'>Butterworth, B. &#8220;The Development of Arithmetical
Abilities.&#8221; <i>Journal of Child Psychology and Psychiatry and Allied
Disciplines</i> (2009): n. pag. <i>PubMed - indexed for MEDLINE</i>. Web. 4
Oct. 2009. &lt;http://www.ncbi.nlm.nih.gov/&#8204;pubmed/&#8204;15660640&gt=
;.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'>Butterworth, Brian. <i>What Counts: How Every Brain is
Hardwired for Math</i>. New York: The Free Press, 1999. Print.<o:p></o:p></=
span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'>Dehaene, Stanislas. &#8220;Numbers.&#8221; Interview by J=
ad
Abumrad and Robert Krulwich. <span style=3D'mso-spacerun:yes'>&nbsp;</span>=
<i>Radio
Lab</i>. WNYC. 30 Sept. 2009. <i>WNYC -- Radio Lab </i>. Web. Transcript. 7
Oct. 2009. &lt;http://www.wnyc.org/&#8204;shows/&#8204;radiolab/&#8204;epis=
odes/&#8204;2009/&#8204;10/&#8204;09&gt;.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'><span style=3D'mso-spacerun:yes'>&nbsp;</span>&#8220;Orig=
ins of
Mathematical Intuitions:<span style=3D'mso-spacerun:yes'>&nbsp; </span>The =
Case
of Arithmetic.&#8221; <i>Annals of the New York Academy of Sciences</i> (20=
09):
232-259. <i>Unicog.org</i>. Web. 16 Oct. 2009. &lt;http://www.unicog.org/&#=
8204;publications/&#8204;Dehaene
S (2009) Origins of mathematical intuitions...The
YearInNeuroscienceNYAS.pdf&gt;.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'>Healy, Jane M., Ph.D. <i>Your Child&#8217;s Growing Mind:=
 A
Practical Guide to Brain Development and Learning from Birth to Adolescence=
</i>.
New York: Doubleday, 1987, 1994. Print.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'>Kluger, Jeffrey. &#8220;Language and the Baby Brain.&#822=
1; <i>TIME,
Your Brain:<span style=3D'mso-spacerun:yes'>&nbsp; </span>A User&#8217;s Gu=
ide</i>
2009: 26-30. Print.<o:p></o:p></span></p>

<h1><a name=3D"_Toc244097470">Images Used</a></h1>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'>Albert Einstein. N.d. <i>www.etsu.edu/math/gardner/einste=
in/person.htm</i>.
<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;www.etsu.edu, n.d. Web. 23 Oct. 2009.
&lt;http://www.etsu.edu/math/gardner/ <br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;einstein/einstein-folded-hands.jpg&gt;.<o:p><=
/o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'>Baby with Glasses. N.d. www.uoregon.edu, n.d. Web. 23 Oct.
2009. <br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&lt;http://www.uoregon.edu/~cstein/Brains%20b=
aby.jpg&gt;.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'>Brian Butterworth. N.d. <i>www.mathematicalbrain.com</i>.
N.p., n.d. Web. 23 Oct. <br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;2009.
&lt;http://www.mathematicalbrain.com/images/bbpor.JPG&gt;.<o:p></o:p></span=
></p>

<p class=3DMsoNormal style=3D'mso-pagination:widow-orphan lines-together;
text-autospace:none'><span style=3D'font-size:11.0pt;line-height:200%'><o:p=
>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'mso-pagination:widow-orphan lines-together;
text-autospace:none'><span style=3D'font-size:11.0pt;line-height:200%;mso-b=
idi-font-style:
italic'>Jean Piaget</span><span style=3D'font-size:11.0pt;line-height:200%'=
>.
N.d. <i>www.commons.activemath.org</i>. N.p., n.d. Web. 23 Oct. 2009. <br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<span style=3D'mso-tab-count:1'>&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp; </span>&lt;http://commons.activemath.org/ActiveMath=
2/content/piaget/pics/
<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<span style=3D'mso-tab-count:1'>&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp; </span>jean_piaget.jpg&gt;.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'mso-pagination:widow-orphan lines-together;
text-autospace:none'><span style=3D'font-size:11.0pt;line-height:200%'><o:p=
>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'mso-pagination:widow-orphan lines-together;
text-autospace:none'><span style=3D'font-size:11.0pt;line-height:200%'>Jerry
Fodor. N.d. <i>www.uncommondescent.com</i>. N.p., n.d. Web. 23 Oct. 2009. <=
br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<span style=3D'mso-tab-count:1'>&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp; </span>&lt;http://www.uncommondescent.com/images/fo=
dor.jpg&gt;.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'>Marian Diamond. N.d. <i>sciencematters.berkeley.edu</i>.
N.p., n.d. Web. 23 Oct. 2009. <br>
&nbsp;&nbsp;&nbsp;&nbsp;&lt;http://sciencematters.berkeley.edu/archives/vol=
ume3/issue20/images/
<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;diamond1.jpg&gt;.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'>Math Baby. N.d. <i>math2mind.blogspot.com/</i>. N.p., n.d=
. Web.
21 Oct. 2009. <br>
&lt;http://2.bp.blogspot.com/_ySjExcU0kyU/SQz2MJzCnI/AAAAAAAAIxs/1Dmxio9DVD=
c/
LOVE+MATH+BABY.jpg&gt;.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'>Stanislas Dehaene. N.d. <i>www.edge.org/3rd_culture/bios/=
dehaene.html</i>.
N.p., n.d. <br>
&nbsp;&nbsp;&nbsp;&nbsp;Web. 23 Oct. 2009.
&lt;http://www.edge.org/3rd_culture/bios/images/ <br>
&nbsp;&nbsp;&nbsp;&nbsp;dehaene200.jpg&gt;.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;mso-pagina=
tion:
widow-orphan lines-together;text-autospace:none'><span style=3D'font-size:1=
1.0pt;
line-height:200%'>Veronique Izard. N.d. <i>www.news.harvard.edu</i>. Harvard
University, n.d. Web. 23 <br>
&nbsp;&nbsp;&nbsp;&nbsp;Oct. 2009.
&lt;http://news.harvard.edu/gazette/wp-content/uploads/2009/08/ <br>
&nbsp;&nbsp;&nbsp;&nbsp;09-numbers.jpg&gt;.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'mso-pagination:widow-orphan lines-together;
text-autospace:none'><span style=3D'font-size:11.0pt;line-height:200%'><o:p=
>&nbsp;</o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:11.0pt;line-height:200%'><o:p=
>&nbsp;</o:p></span></p>

</div>

<div style=3D'mso-element:footnote-list'><![if !supportFootnotes]><br clear=
=3Dall>

<hr align=3Dleft size=3D1 width=3D"33%">

<![endif]>

<div style=3D'mso-element:footnote' id=3Dftn1>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn1' href=3D"#_ftnref1" name=3D"_ftn1" title=3D""=
><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[1]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Stanislas Dehaene. &#8220;Origins of Mathematic=
al
Intuitions:<span style=3D'mso-spacerun:yes'>&nbsp; </span>The Case of
Arithmetic.&#8221; <i>Annals of the New York Academy of Sciences</i> (2009):
232-259. <i>Unicog.org</i>. Web. 16 Oct. 2009. &lt;http://www.unicog.org/&#=
8204;publications/&#8204;Dehaene
S (2009) Origins of mathematical intuitions...The
YearInNeuroscienceNYAS.pdf&gt;.<o:p></o:p></span></p>

<p class=3DMsoFootnoteText><o:p>&nbsp;</o:p></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn2>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn2' href=3D"#_ftnref2" name=3D"_ftn2" title=3D""=
><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[2]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Healy, Jane M., Ph.D. <i>Your Child&#8217;s Gro=
wing
Mind: A Practical Guide to Brain Development and Learning from Birth to
Adolescence</i>. New York: Doubleday, 1987, 1994. Print.<o:p></o:p></span><=
/p>

<p class=3DMsoFootnoteText><o:p>&nbsp;</o:p></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn3>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn3' href=3D"#_ftnref3" name=3D"_ftn3" title=3D""=
><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[3]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Brian Butterworth. <i>What Counts: How Every Br=
ain is
Hardwired for Math</i>. New York: The Free Press, 1999. Print.<o:p></o:p></=
span></p>

<p class=3DMsoFootnoteText><o:p>&nbsp;</o:p></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn4>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn4' href=3D"#_ftnref4" name=3D"_ftn4" title=3D""=
><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[4]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Brian Butterworth. <i>What Counts: How Every Br=
ain is
Hardwired for Math</i>. New York: The Free Press, 1999. Print.</span></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn5>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn5' href=3D"#_ftnref5" name=3D"_ftn5" title=3D""=
><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[5]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Jane M. Healy. Ph.D. <i>Your Child&#8217;s Grow=
ing
Mind: A Practical Guide to Brain Development and Learning from Birth to
Adolescence</i>. New York: Doubleday, 1987, 1994. Print.<o:p></o:p></span><=
/p>

<p class=3DMsoFootnoteText><o:p>&nbsp;</o:p></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn6>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn6' href=3D"#_ftnref6" name=3D"_ftn6" title=3D""=
><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[6]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Bruce Bower. &#8220;Tots Who Tote: Babies Show =
Neural
Signs of Budding Number Sense.&#8221; <i>Science News</i> 9 Feb. 2008: 84-8=
5. <i>Gale.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Mission College Library</i>. Web. =
4 Oct.
2009. &lt;http://0-find.galegroup.com.library.wvmccd.cc.ca.us/&#8204;gtx/&#=
8204;start.do?prodId=3DGRGM&gt;.<o:p></o:p></span></p>

<p class=3DMsoFootnoteText><o:p>&nbsp;</o:p></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn7>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn7' href=3D"#_ftnref7" name=3D"_ftn7" title=3D""=
><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[7]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Stanislas Dehaene. &#8220;Origins of Mathematic=
al
Intuitions:<span style=3D'mso-spacerun:yes'>&nbsp; </span>The Case of
Arithmetic.&#8221; <i>Annals of the New York Academy of Sciences</i> (2009):
232-259. <i>Unicog.org</i>. Web. 16 Oct. 2009. &lt;http://www.unicog.org/&#=
8204;publications/&#8204;Dehaene
S (2009) Origins of mathematical intuitions...The
YearInNeuroscienceNYAS.pdf&gt;.<o:p></o:p></span></p>

<p class=3DMsoFootnoteText><o:p>&nbsp;</o:p></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn8>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn8' href=3D"#_ftnref8" name=3D"_ftn8" title=3D""=
><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[8]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Stanislas Dehaene. &#8220;Numbers.&#8221; Inter=
view
by Jad Abumrad and Robert Krulwich.<span style=3D'mso-spacerun:yes'>&nbsp;
</span><i>Radio Lab</i>. WNYC. 30 Sept. 2009. <i>WNYC -- Radio Lab </i>. We=
b.
Transcript. 7 Oct. 2009. &lt;http://www.wnyc.org/&#8204;shows/&#8204;radiol=
ab/&#8204;episodes/&#8204;2009/&#8204;10/&#8204;09&gt;.<o:p></o:p></span></=
p>

<p class=3DMsoFootnoteText><o:p>&nbsp;</o:p></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn9>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn9' href=3D"#_ftnref9" name=3D"_ftn9" title=3D""=
><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[9]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Stanislas Dehaene. &#8220;Origins of Mathematic=
al
Intuitions:<span style=3D'mso-spacerun:yes'>&nbsp; </span>The Case of
Arithmetic.&#8221; <i>Annals of the New York Academy of Sciences</i> (2009):
232-259. <i>Unicog.org</i>. Web. 16 Oct. 2009. &lt;http://www.unicog.org/&#=
8204;publications/&#8204;Dehaene
S (2009) Origins of mathematical intuitions...The
YearInNeuroscienceNYAS.pdf&gt;.<o:p></o:p></span></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn10>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn10' href=3D"#_ftnref10" name=3D"_ftn10" title=
=3D""><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[10]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Bruce Bower. &#8220;Tots Who Tote: Babies Show =
Neural
Signs of Budding Number Sense.&#8221; <i>Science News</i> 9 Feb. 2008: 84-8=
5. <i>Gale.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Mission College Library</i>. Web. =
4 Oct.
2009. &lt;http://0-find.galegroup.com.library.wvmccd.cc.ca.us/&#8204;gtx/&#=
8204;start.do?prodId=3DGRGM&gt;.<o:p></o:p></span></p>

<p class=3DMsoFootnoteText><o:p>&nbsp;</o:p></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn11>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn11' href=3D"#_ftnref11" name=3D"_ftn11" title=
=3D""><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[11]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Stanislas Dehaene. &#8220;Numbers.&#8221; Inter=
view
by Jad Abumrad and Robert Krulwich.<span style=3D'mso-spacerun:yes'>&nbsp;
</span><i>Radio Lab</i>. WNYC. 30 Sept. 2009. <i>WNYC -- Radio Lab </i>. We=
b.
Transcript. 7 Oct. 2009. &lt;http://www.wnyc.org/&#8204;shows/&#8204;radiol=
ab/&#8204;episodes/&#8204;2009/&#8204;10/&#8204;09&gt;.<o:p></o:p></span></=
p>

<p class=3DMsoFootnoteText><o:p>&nbsp;</o:p></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn12>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn12' href=3D"#_ftnref12" name=3D"_ftn12" title=
=3D""><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[12]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Kluger, Jeffrey. &#8220;Language and the Baby
Brain.&#8221; <i>TIME, Your Brain:<span style=3D'mso-spacerun:yes'>&nbsp;
</span>A User&#8217;s Guide</i> 2009: 26-30. Print.<o:p></o:p></span></p>

<p class=3DMsoFootnoteText><o:p>&nbsp;</o:p></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn13>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn13' href=3D"#_ftnref13" name=3D"_ftn13" title=
=3D""><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[13]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> B. Butterworth. &#8220;The Development of
Arithmetical Abilities.&#8221; <i>Journal of Child Psychology and Psychiatry
and Allied Disciplines</i> (2009): n. pag. <i>PubMed - indexed for MEDLINE<=
/i>.
Web. 4 Oct. 2009. &lt;http://www.ncbi.nlm.nih.gov/&#8204;pubmed/&#8204;1566=
0640&gt;.<o:p></o:p></span></p>

<p class=3DMsoFootnoteText><o:p>&nbsp;</o:p></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn14>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn14' href=3D"#_ftnref14" name=3D"_ftn14" title=
=3D""><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[14]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Jane M. Healy, Ph.D. <i>Your Child&#8217;s Grow=
ing
Mind: A Practical Guide to Brain Development and Learning from Birth to
Adolescence</i>. New York: Doubleday, 1987, 1994. Print.<o:p></o:p></span><=
/p>

<p class=3DMsoFootnoteText><o:p>&nbsp;</o:p></p>

</div>

<div style=3D'mso-element:footnote' id=3Dftn15>

<p class=3DMsoNormal style=3D'margin-left:.5in;text-indent:-.5in;line-heigh=
t:normal;
mso-pagination:widow-orphan lines-together;text-autospace:none'><a
style=3D'mso-footnote-id:ftn15' href=3D"#_ftnref15" name=3D"_ftn15" title=
=3D""><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt'><span
style=3D'mso-special-character:footnote'><![if !supportFootnotes]><span
class=3DMsoFootnoteReference><span style=3D'font-size:10.0pt;line-height:20=
0%;
font-family:"Times New Roman","serif";mso-fareast-font-family:Calibri;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'=
>[15]</span></span><![endif]></span></span></span></a><span
style=3D'font-size:10.0pt'> Stanislas Dehaene. &#8220;Origins of Mathematic=
al
Intuitions:<span style=3D'mso-spacerun:yes'>&nbsp; </span>The Case of
Arithmetic.&#8221; <i>Annals of the New York Academy of Sciences</i> (2009):
232-259. <i>Unicog.org</i>. Web. 16 Oct. 2009. &lt;http://www.unicog.org/&#=
8204;publications/&#8204;Dehaene
S (2009) Origins of mathematical intuitions...The
YearInNeuroscienceNYAS.pdf&gt;.<o:p></o:p></span></p>

<p class=3DMsoFootnoteText><o:p>&nbsp;</o:p></p>

</div>

</div>

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