https://rctn.org/w/index.php?title=VS298:_Neural_Computation&feed=atom&action=history
VS298: Neural Computation - Revision history
2024-03-28T23:08:12Z
Revision history for this page on the wiki
MediaWiki 1.39.4
https://rctn.org/w/index.php?title=VS298:_Neural_Computation&diff=4303&oldid=prev
Bruno at 07:02, 13 November 2008
2008-11-13T07:02:49Z
<p></p>
<p><b>New page</b></p><div>== Course description ==<br />
This course provides an introduction to the theory of neural computation. The goal is to familiarize students with the major theoretical frameworks and models used in neuroscience and psychology, and to provide hands-on experience in using these models. Topics include neural network models, supervised and unsupervised learning rules, associative memory models, probabilistic/graphical models, and models of neural coding in the brain.<br />
<br />
This course differs from MCB 262, ''Advanced Topics in Systems Neuroscience,'' in that it emphasizes the theoretical underpinnings of models - i.e., their mathematical and computational properties - rather than their application to the analysis of neuroscientific data. It is offered in alternate years, interleaving with MCB 262. Students interested in computational neuroscience are encouraged to take both of these courses as they complement each other.<br />
<br />
=== Instructors ===<br />
<br />
[http://redwood.berkeley.edu/bruno '''Bruno Olshausen''']<br />
* Email: baolshausen AT berkeley DOT edu<br />
* Office: 570 Evans<br />
* Office hours: TBD<br />
<br />
'''Amir Khosrowshahi''', GSI<br />
* Email: amirk AT berkeley DOT edu <br />
* Office: 567 Evans<br />
* Office hours: Tuesday 5-6pm<br />
<br />
=== Lectures ===<br />
* '''Location''': Evans 508-20<br />
* '''Times''': Tuesdays & Thursdays, 3:30-5:00. First meeting is Tuesday, September 2nd.<br />
<br />
=== Enrollment information ===<br />
* Open to both undergraduate and graduate students, subject to background requirements specified below.<br />
* '''Telebears''': {CCN, Section, Units, Grade Option} == {66487, 02 LEC, 3, Letter Grade}<br />
<br />
=== Email list and forum ===<br />
* Please subscribe to the class email list [http://lists.berkeley.edu here]. The list name is vs298-students.<br />
* A bulletin board is provided [http://redwood.berkeley.edu/forum/index.php here] for discussion regarding lecture material, readings, and problem sets. Code required for signup will be distributed to the class email list.<br />
<br />
=== Grading ===<br />
Based on weekly homework assignments (60%) and a final project (40%).<br />
<br />
=== Required background===<br />
Prerequisites are calculus, ordinary differential equations, basic probability and statistics, and linear algebra. Familiarity with programming in a high level language such as Matlab is also required.<br />
<br />
=== Textbooks ===<br />
* ['''HKP'''] Hertz, J. and Krogh, A. and Palmer, R.G. ''Introduction to the theory of neural computation.'' [http://www.amazon.com/gp/product/0201515601/sr=8-1/qid=1155770696/ref=sr_1_1/103-4924722-3267011?ie=UTF8 Amazon]<br />
* ['''DJCM'''] MacKay, D.J.C. ''Information Theory, Inference and Learning Algorithms.'' [http://www.inference.phy.cam.ac.uk/mackay/itila/book.html Available online] or [http://www.amazon.com/exec/obidos/redirect?tag=davidmackayca-20&path=tg/detail/-/0521642981/qid%3D1057850920/sr%3D1-4 Amazon]<br />
* ['''DA'''] Dayan, P. and Abbott, L.F. ''Theoretical neuroscience: computational and mathematical modeling of neural systems.'' [http://www.amazon.com/Theoretical-Neuroscience-Computational-Mathematical-Modeling/dp/0262541858/ref=pd_bbs_1?ie=UTF8&s=books&qid=1219848910&sr=8-1 Amazon]<br />
<br />
'''HKP''' and '''DA''' are available as paperback. Additional reading, such as primary source material, will be suggested on a lecture by lecture basis.<br />
<br />
== [http://redwood.berkeley.edu/wiki/VS298:_Syllabus Syllabus] ==<br />
<br />
== [http://redwood.berkeley.edu/wiki/VS298:_Reading Reading] ==<br />
<!--== [http://redwood.berkeley.edu/wiki/VS298:_Schedule Class schedule] ==--><br />
== [http://redwood.berkeley.edu/wiki/VS298:_Slides Lecture slides] ==<br />
<br />
== [http://redwood.berkeley.edu/wiki/VS298:_Additional_resources Additional resources] ==<br />
<br />
== [http://redwood.berkeley.edu/wiki/VS298:_Homework_assignments Homework] ==<br />
<br />
== [http://redwood.berkeley.edu/wiki/VS298:_Suggested_projects Class project] ==</div>
Bruno
https://rctn.org/w/index.php?title=VS298:_Neural_Computation&diff=4022&oldid=prev
Bruno: /* Lectures */
2008-08-27T16:59:38Z
<p><span dir="auto"><span class="autocomment">Lectures</span></span></p>
<p><b>New page</b></p><div>== Course description ==<br />
This course provides an introduction to the theory of neural computation. The goal is to familiarize students with the major theoretical frameworks and models used in neuroscience and psychology, and to provide hands-on experience in using these models. Topics include neural network models, supervised and unsupervised learning rules, associative memory models, probabilistic/graphical models, and models of neural coding in the brain.<br />
<br />
This course differs from MCB 262, ''Advanced Topics in Systems Neuroscience,'' in that it emphasizes the theoretical underpinnings of models - i.e., their mathematical and computational properties - rather than their application to the analysis of neuroscientific data. It is offered in alternate years, interleaving with MCB 262. Students interested in computational neuroscience are encouraged to take both of these courses as they complement each other.<br />
<br />
=== Instructors ===<br />
<br />
[http://redwood.berkeley.edu/bruno '''Bruno Olshausen''']<br />
* Email: baolshausen AT berkeley DOT edu<br />
* Office: 570 Evans<br />
* Office hours: TBD<br />
<br />
'''Amir Khosrowshahi''', GSI<br />
* Email: amirk AT berkeley DOT edu <br />
* Office: 567 Evans<br />
* Office hours: TBD<br />
<br />
=== Lectures ===<br />
* '''Location''': Evans 508-20<br />
* '''Times''': Tuesdays & Thursdays, 3:30-5:00. First meeting is Tuesday, September 2nd.<br />
<br />
=== Enrollment information ===<br />
* Open to both undergraduate and graduate students, subject to background requirements specified below.<br />
* '''Telebears''': {CCN, Section, Units, Grade Option} == {66487, 02 LEC, 3, Letter Grade}<br />
<br />
=== Email list and forum ===<br />
* Please subscribe to the class email list [http://lists.berkeley.edu here]. The list name is vs298-students.<br />
* A bulletin board is provided [http://redwood.berkeley.edu/forum/index.php here] for discussion regarding lecture material, readings, and problem sets. Signup required for posting.<br />
<br />
=== Grading ===<br />
Based on weekly homework assignments (60%) and a final project (40%).<br />
<br />
=== Required background===<br />
Prerequisites are calculus, ordinary differential equations, basic probability and statistics, and linear algebra. Familiarity with programming in a high level language such as Matlab is also required.<br />
<br />
=== Textbooks ===<br />
* ['''HKP'''] Hertz, J. and Krogh, A. and Palmer, R.G. ''Introduction to the theory of neural computation.'' [http://www.amazon.com/gp/product/0201515601/sr=8-1/qid=1155770696/ref=sr_1_1/103-4924722-3267011?ie=UTF8 Amazon]<br />
* ['''DJCM'''] MacKay, D.J.C. ''Information Theory, Inference and Learning Algorithms.'' [http://www.inference.phy.cam.ac.uk/mackay/itila/book.html Available online] or [http://www.amazon.com/exec/obidos/redirect?tag=davidmackayca-20&path=tg/detail/-/0521642981/qid%3D1057850920/sr%3D1-4 Amazon]<br />
* ['''DA'''] Dayan, P. and Abbott, L.F. ''Theoretical neuroscience: computational and mathematical modeling of neural systems.'' [http://www.amazon.com/Theoretical-Neuroscience-Computational-Mathematical-Modeling/dp/0262541858/ref=pd_bbs_1?ie=UTF8&s=books&qid=1219848910&sr=8-1 Amazon]<br />
<br />
'''HKP''' and '''DA''' are available as paperback. Additional reading, such as primary source material, will be suggested on a lecture by lecture basis.<br />
<br />
== [http://redwood.berkeley.edu/wiki/VS298:_Syllabus Syllabus] ==<br />
<br />
<!--== [http://redwood.berkeley.edu/wiki/VS298:_Reading Reading] ==--><br />
<br />
<!--== [http://redwood.berkeley.edu/wiki/VS298:_Schedule Class schedule] ==--><br />
<br />
<!--== [http://redwood.berkeley.edu/wiki/VS298:_Slides Lecture slides] ==--><br />
== [http://redwood.berkeley.edu/wiki/VS298:_Additional_resources Additional resources] ==<br />
<br />
<!--== [http://redwood.berkeley.edu/wiki/VS298:_Homework_assignments Homework] ==--><br />
<br />
<!--== [http://redwood.berkeley.edu/wiki/VS298:_Suggested_projects Suggested projects] ==--></div>
Bruno
https://rctn.org/w/index.php?title=VS298:_Neural_Computation&diff=4013&oldid=prev
Bruno at 22:06, 26 August 2008
2008-08-26T22:06:47Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 21:58, 26 August 2008</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''HKP''' and '''DA''' are available as paperback. Some copies of '''HKP''' and '''DJCM''' are available at the Berkeley bookstore. Additional reading, such as primary source material, will be suggested on a lecture by lecture basis.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''HKP''' and '''DA''' are available as paperback. Some copies of '''HKP''' and '''DJCM''' are available at the Berkeley bookstore. Additional reading, such as primary source material, will be suggested on a lecture by lecture basis.</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== [http://redwood.berkeley.edu/wiki/VS298:_Syllabus Syllabus] ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== [http://redwood.berkeley.edu/wiki/VS298:_Syllabus Syllabus] ==</div></td></tr>
</table>
Bruno
https://rctn.org/w/index.php?title=VS298:_Neural_Computation&diff=4012&oldid=prev
Bruno at 22:06, 26 August 2008
2008-08-26T22:06:09Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 21:58, 26 August 2008</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''HKP''' and '''DA''' are available as paperback. Some copies of '''HKP''' and '''DJCM''' are available at the Berkeley bookstore. Additional reading, such as primary source material, will be suggested on a lecture by lecture basis.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''HKP''' and '''DA''' are available as paperback. Some copies of '''HKP''' and '''DJCM''' are available at the Berkeley bookstore. Additional reading, such as primary source material, will be suggested on a lecture by lecture basis.</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">== [http://redwood.berkeley.edu/wiki/VS298:_Syllabus Syllabus] ==</ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><!--== [http://redwood.berkeley.edu/wiki/VS298:_Suggested_projects Suggested projects] ==--></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><!--== [http://redwood.berkeley.edu/wiki/VS298:_Suggested_projects Suggested projects] ==--></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
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Bruno
https://rctn.org/w/index.php?title=VS298:_Neural_Computation&diff=4011&oldid=prev
Bruno at 22:05, 26 August 2008
2008-08-26T22:05:40Z
<p></p>
<p><b>New page</b></p><div>== Course description ==<br />
This course provides an introduction to the theory of neural computation. The goal is to familiarize students with the major theoretical frameworks and models used in neuroscience and psychology, and to provide hands-on experience in using these models. Topics include neural network models, supervised and unsupervised learning rules, associative memory models, probabilistic/graphical models, and models of neural coding in the brain.<br />
<br />
This course differs from MCB 262, ''Advanced Topics in Systems Neuroscience,'' in that it emphasizes the theoretical underpinnings of models - i.e., their mathematical and computational properties - rather than their application to the analysis of neuroscientific data. It is offered in alternate years, interleaving with MCB 262. Students interested in computational neuroscience are encouraged to take both of these courses as they complement each other.<br />
<br />
=== Instructors ===<br />
<br />
[http://redwood.berkeley.edu/bruno '''Bruno Olshausen''']<br />
* Email: baolshausen AT berkeley DOT edu<br />
* Office: 570 Evans<br />
* Office hours: TBD<br />
<br />
'''Amir Khosrowshahi''', GSI<br />
* Email: amirk AT berkeley DOT edu <br />
* Office: 567 Evans<br />
* Office hours: TBD<br />
<br />
=== Lectures ===<br />
* '''Location''': Evans 508-20<br />
* '''Times''': 3 hours per week, to be determined at <font color="red">''organizational meeting on Tuesday, August 26 at 5:00''</font>. You can also indicate your preferences by signing up [http://spreadsheets.google.com/viewform?key=pIv4o1x_xpN1wxU1e8iWrVg here].<br />
<br />
=== Enrollment information ===<br />
* Open to both undergraduate and graduate students, subject to background requirements specified below.<br />
* '''Telebears''': {CCN, Section, Units, Grade Option} == {66487, 02 LEC, 3, Letter Grade}<br />
<br />
=== Email list and forum ===<br />
* Please subscribe to the class email list [http://lists.berkeley.edu here]. The list name is vs298-students.<br />
* A bulletin board is provided [http://redwood.berkeley.edu/forum/index.php here] for discussion regarding lecture material, readings, and problem sets. Signup required for posting.<br />
<br />
=== Grading ===<br />
Based on weekly homework assignments (60%) and a final project (40%).<br />
<br />
=== Required background===<br />
Prerequisites are calculus, ordinary differential equations, basic probability and statistics, and linear algebra. Familiarity with programming in a high level language such as Matlab is also required.<br />
<br />
=== Textbooks ===<br />
* ['''HKP'''] Hertz, J. and Krogh, A. and Palmer, R.G. ''Introduction to the theory of neural computation.'' [http://www.amazon.com/gp/product/0201515601/sr=8-1/qid=1155770696/ref=sr_1_1/103-4924722-3267011?ie=UTF8 Amazon]<br />
* ['''DJCM'''] MacKay, D.J.C. ''Information Theory, Inference and Learning Algorithms.'' [http://www.inference.phy.cam.ac.uk/mackay/itila/book.html Available online] or [http://www.amazon.com/exec/obidos/redirect?tag=davidmackayca-20&path=tg/detail/-/0521642981/qid%3D1057850920/sr%3D1-4 Amazon]<br />
* ['''DA'''] Dayan, P. and Abbott, L.F. ''Theoretical neuroscience: computational and mathematical modeling of neural systems.'' [http://www.amazon.com/gp/product/0262541858/ref=sr_11_1/103-4924722-3267011?ie=UTF8 Amazon]<br />
<br />
'''HKP''' and '''DA''' are available as paperback. Some copies of '''HKP''' and '''DJCM''' are available at the Berkeley bookstore. Additional reading, such as primary source material, will be suggested on a lecture by lecture basis.<br />
<br />
<!--== [http://redwood.berkeley.edu/wiki/VS298:_Reading Reading] ==--><br />
<br />
<!--== [http://redwood.berkeley.edu/wiki/VS298:_Schedule Class schedule] ==--><br />
<br />
<!--== [http://redwood.berkeley.edu/wiki/VS298:_Slides Lecture slides] ==--><br />
<br />
<!--== [http://redwood.berkeley.edu/wiki/VS298:_Additional_resources Additional resources] ==--><br />
<br />
<!--== [http://redwood.berkeley.edu/wiki/VS298:_Homework_assignments Homework] ==--><br />
<br />
<!--== [http://redwood.berkeley.edu/wiki/VS298:_Suggested_projects Suggested projects] ==--><br />
<br />
== [http://redwood.berkeley.edu/wiki/VS298:_Syllabus Syllabus] ==</div>
Bruno
https://rctn.org/w/index.php?title=VS298:_Neural_Computation&diff=3971&oldid=prev
Bruno: /* Enrollment information */
2008-08-19T05:58:46Z
<p><span dir="auto"><span class="autocomment">Enrollment information</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 05:50, 19 August 2008</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Enrollment information ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Enrollment information ===</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Open to both undergraduate and graduate students, subject to background requirements specified below.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Open to both undergraduate and graduate students, subject to background requirements specified below.</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* '''Telebears''': {CCN, Section, Units, Grade Option} == {<del style="font-weight: bold; text-decoration: none;">68487</del>, 02 LEC, 3, Letter Grade}</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* '''Telebears''': {CCN, Section, Units, Grade Option} == {<ins style="font-weight: bold; text-decoration: none;">66487</ins>, 02 LEC, 3, Letter Grade}</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Email list and forum ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Email list and forum ===</div></td></tr>
</table>
Bruno
https://rctn.org/w/index.php?title=VS298:_Neural_Computation&diff=3970&oldid=prev
Bruno: /* Lectures */
2008-08-19T04:24:37Z
<p><span dir="auto"><span class="autocomment">Lectures</span></span></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 04:16, 19 August 2008</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Lectures ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Lectures ===</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* '''Location''': Evans 508-20</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* '''Location''': Evans 508-20</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* '''Times''': 3 hours per week, to be determined at <font color="red">''organizational meeting on <del style="font-weight: bold; text-decoration: none;">Wednesday</del>, August <del style="font-weight: bold; text-decoration: none;">27 </del>at 5:00''</font>. Please email your time preferences/constraints to [mailto:khosra+vs298@gmail.com Amir] in the meantime so we can find a meeting time that accommodates as many as possible.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* '''Times''': 3 hours per week, to be determined at <font color="red">''organizational meeting on <ins style="font-weight: bold; text-decoration: none;">Tuesday</ins>, August <ins style="font-weight: bold; text-decoration: none;">26 </ins>at 5:00''</font>. Please email your time preferences/constraints to [mailto:khosra+vs298@gmail.com Amir] in the meantime so we can find a meeting time that accommodates as many as possible.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Enrollment information ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Enrollment information ===</div></td></tr>
</table>
Bruno
https://rctn.org/w/index.php?title=VS298:_Neural_Computation&diff=3968&oldid=prev
Bruno: /* Lectures */
2008-08-18T02:09:33Z
<p><span dir="auto"><span class="autocomment">Lectures</span></span></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 02:01, 18 August 2008</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Lectures ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Lectures ===</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* '''Location''': Evans 508-20</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* '''Location''': Evans 508-20</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* '''Times''': 3 hours per week, to be determined at <font color="red">''organizational meeting on Wednesday, August 27 at 5:00''</font></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* '''Times''': 3 hours per week, to be determined at <font color="red">''organizational meeting on Wednesday, August 27 at 5:00''</font><ins style="font-weight: bold; text-decoration: none;">. Please email your time preferences/constraints to [mailto:khosra+vs298@gmail.com Amir] in the meantime so we can find a meeting time that accommodates as many as possible.</ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Enrollment information ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Enrollment information ===</div></td></tr>
</table>
Bruno
https://rctn.org/w/index.php?title=VS298:_Neural_Computation&diff=3967&oldid=prev
Bruno: /* Course description */
2008-08-18T01:25:16Z
<p><span dir="auto"><span class="autocomment">Course description</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 01:17, 18 August 2008</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Course description ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Course description ==</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>This <del style="font-weight: bold; text-decoration: none;">is a 3-unit </del>course <del style="font-weight: bold; text-decoration: none;">that </del>provides an introduction to the theory of neural computation. The goal is to familiarize students with the major theoretical frameworks and models used in neuroscience and psychology, and to provide hands-on experience in using these models. Topics include neural network models, supervised and unsupervised learning rules, associative memory models, probabilistic/graphical models, and models of neural coding in the brain.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>This course provides an introduction to the theory of neural computation. The goal is to familiarize students with the major theoretical frameworks and models used in neuroscience and psychology, and to provide hands-on experience in using these models. Topics include neural network models, supervised and unsupervised learning rules, associative memory models, probabilistic/graphical models, and models of neural coding in the brain.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>This course differs from MCB 262, ''Advanced Topics in Systems Neuroscience,'' in that it emphasizes the theoretical underpinnings of models - i.e., their mathematical and computational properties - rather than their application to the analysis of neuroscientific data. It is offered in alternate years, interleaving with MCB 262. Students interested in computational neuroscience are encouraged to take both of these courses as they complement each other.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>This course differs from MCB 262, ''Advanced Topics in Systems Neuroscience,'' in that it emphasizes the theoretical underpinnings of models - i.e., their mathematical and computational properties - rather than their application to the analysis of neuroscientific data. It is offered in alternate years, interleaving with MCB 262. Students interested in computational neuroscience are encouraged to take both of these courses as they complement each other.</div></td></tr>
</table>
Bruno
https://rctn.org/w/index.php?title=VS298:_Neural_Computation&diff=3966&oldid=prev
Bruno: /* Enrollment information */
2008-08-18T01:24:15Z
<p><span dir="auto"><span class="autocomment">Enrollment information</span></span></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 01:16, 18 August 2008</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Enrollment information ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Enrollment information ===</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Open to both undergraduate and graduate students, subject to background requirements specified below.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Open to both undergraduate and graduate students, subject to background requirements specified below.</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* '''Telebears''': {<del style="font-weight: bold; text-decoration: none;">'''</del>CCN<del style="font-weight: bold; text-decoration: none;">'''</del>, Section, Units, Grade Option} == {68487, 02 LEC, 3, Letter Grade}</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* '''Telebears''': {CCN, Section, Units, Grade Option} == {68487, 02 LEC, 3, Letter Grade}</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Email list and forum ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Email list and forum ===</div></td></tr>
</table>
Bruno