<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:x="urn:schemas-microsoft-com:office:excel" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"><head><META HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=us-ascii"><meta name=Generator content="Microsoft Word 14 (filtered medium)"><style><!--
/* Font Definitions */
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
{font-family:Tahoma;
panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin-top:0in;
margin-right:0in;
margin-bottom:10.0pt;
margin-left:0in;
line-height:115%;
font-size:11.0pt;
font-family:"Calibri","sans-serif";}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:blue;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:purple;
text-decoration:underline;}
p.MsoAcetate, li.MsoAcetate, div.MsoAcetate
{mso-style-priority:99;
mso-style-link:"Balloon Text Char";
margin:0in;
margin-bottom:.0001pt;
font-size:8.0pt;
font-family:"Tahoma","sans-serif";}
span.BalloonTextChar
{mso-style-name:"Balloon Text Char";
mso-style-priority:99;
mso-style-link:"Balloon Text";
font-family:"Tahoma","sans-serif";}
p.titlechapter, li.titlechapter, div.titlechapter
{mso-style-name:titlechapter;
mso-margin-top-alt:auto;
margin-right:0in;
mso-margin-bottom-alt:auto;
margin-left:0in;
font-size:12.0pt;
font-family:"Times New Roman","serif";}
span.EmailStyle20
{mso-style-type:personal;
font-weight:bold;}
span.EmailStyle21
{mso-style-type:personal;
font-family:"Calibri","sans-serif";
color:#1F497D;}
span.EmailStyle22
{mso-style-type:personal;
font-family:"Calibri","sans-serif";
color:#1F497D;}
span.EmailStyle23
{mso-style-type:personal;
font-family:"Calibri","sans-serif";
color:#1F497D;}
span.EmailStyle24
{mso-style-type:personal;
font-family:"Calibri","sans-serif";
color:#1F497D;}
span.EmailStyle25
{mso-style-type:personal;
font-family:"Calibri","sans-serif";
color:#1F497D;}
span.EmailStyle26
{mso-style-type:personal;
font-family:"Calibri","sans-serif";
color:#1F497D;}
span.EmailStyle27
{mso-style-type:personal;
font-family:"Calibri","sans-serif";
color:#1F497D;}
span.EmailStyle28
{mso-style-type:personal;
font-family:"Calibri","sans-serif";
color:#1F497D;}
span.EmailStyle29
{mso-style-type:personal-reply;
font-family:"Calibri","sans-serif";
color:#1F497D;}
span.apple-converted-space
{mso-style-name:apple-converted-space;}
.MsoChpDefault
{mso-style-type:export-only;
font-size:10.0pt;}
@page WordSection1
{size:8.5in 11.0in;
margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNormal align=center style='text-align:center'><b><span style='font-size:16.0pt;line-height:115%;font-family:"Tahoma","sans-serif"'>MS Thesis Defense<o:p></o:p></span></b></p><p class=MsoNormal align=center style='text-align:center'><b><span style='font-size:16.0pt;line-height:115%;font-family:"Tahoma","sans-serif"'>Automated Extraction of Brain Cell Layers using Cell Networks and Active Machine Learning<o:p></o:p></span></b></p><p class=MsoNormal align=center style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:center;line-height:150%'><b><span style='font-size:14.0pt;line-height:150%;font-family:"Tahoma","sans-serif"'>Vinay Somasundar</span></b><b><span style='font-size:12.0pt;line-height:150%;font-family:"Tahoma","sans-serif"'><o:p></o:p></span></b></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><b><span style='font-size:12.0pt'>Date:</span></b><span style='font-size:12.0pt'> <b>Friday, November 16th, 2012</b><o:p></o:p></span></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><span style='font-size:12.0pt'><o:p> </o:p></span></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><b><span style='font-size:12.0pt'>Location:</span></b><span style='font-size:12.0pt'> ECE Conference Room<o:p></o:p></span></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><b><span style='font-size:12.0pt'>Time:</span></b><span style='font-size:12.0pt'> 10:00 am<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;line-height:normal'><span style='font-size:12.0pt'><o:p> </o:p></span></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><b><span style='font-size:12.0pt'>Committee Chair:<o:p></o:p></span></b></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><span style='font-size:12.0pt'>Dr. Badrinath Roysam<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;line-height:normal'><b><o:p> </o:p></b></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><b><span style='font-size:12.0pt'>Committee Members: </span></b><span style='font-size:12.0pt'><o:p></o:p></span></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'>Dr. Thomas Hebert<o:p></o:p></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'>Dr. Shishir Shah<o:p></o:p></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;line-height:normal'><span style='font-size:12.0pt'><o:p> </o:p></span></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><span style='font-size:12.0pt'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify;text-indent:.5in;line-height:200%'><span style='font-size:12.0pt;line-height:200%;background:white'>The cortex of the brain consists of layers of cells which differ in morphology and spatial distribution.<span class=apple-converted-space> </span>The thesis contributes <span style='color:#222222'>methods and tools to quantify the spatial distributional properties of the neurons such as their density and the distance from the cortical surface using efficient graphical data structures. It also presents the application of an actively trained logistic regression classifier to the problem of delineating the layers by classifying the neurons as belonging different layers based on the morphological and spatial properties. The proposed approach is applied to diverse datasets acquired from different cortical areas and it consistently achieves an accuracy of around 90% in delineating the laminar boundaries. It also proves to perform better than unsupervised learning methods and to be more efficient and accurate compared to unaided manual training of classifier.</span></span><span style='font-size:12.0pt;line-height:200%;color:#1F497D'><o:p></o:p></span></p><p class=MsoNormal style='text-align:justify;line-height:200%'><span style='font-size:12.0pt;line-height:200%;color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify;line-height:200%'><span style='font-size:12.0pt;line-height:200%'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify;line-height:200%'><o:p> </o:p></p></div></body></html>