| dc.contributor.author |
Seung, H. Sebastian |
|
| dc.coverage.temporal |
Spring 2002 |
|
| dc.date.accessioned |
2007-02-02T05:41:11Z |
|
| dc.date.available |
2007-02-02T05:41:11Z |
|
| dc.date.issued |
2002-06 |
|
| dc.identifier |
9.29J-Spring2002 |
|
| dc.identifier.other |
9.29J |
|
| dc.identifier.other |
8.261J |
|
| dc.identifier.other |
IMSCP-MD5-871dd32a126b2a044a2605ea539dd83e |
|
| dc.identifier.uri |
http://hdl.handle.net/1721.1/35859 |
|
| dc.description.abstract |
Mathematical introduction to neural coding and dynamics. Convolution, correlation, linear systems, Fourier analysis, signal detection theory, probability theory, and information theory. Applications to neural coding, focusing on the visual system. Hodgkin-Huxley and related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission. |
en |
| dc.description.provenance |
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This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. |
en |
| dc.subject |
neural coding |
en |
| dc.subject |
dynamics |
en |
| dc.subject |
convolution |
en |
| dc.subject |
correlation |
en |
| dc.subject |
linear systems |
en |
| dc.subject |
Fourier analysis |
en |
| dc.subject |
signal detection theory |
en |
| dc.subject |
probability theory |
en |
| dc.subject |
information theory |
en |
| dc.subject |
neural excitability |
en |
| dc.subject |
stochastic models |
en |
| dc.subject |
ion channels |
en |
| dc.subject |
cable theory |
en |
| dc.subject |
9.29J |
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| dc.subject |
8.261J |
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| dc.subject |
9.29 |
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| dc.subject |
8.261 |
en |
| dc.title |
9.29J / 8.261J Introduction to Computational Neuroscience, Spring 2002 |
en |
| dc.title.alternative |
Introduction to Computational Neuroscience |
en |
| dc.audience.educationlevel |
Graduate |
|
| dc.audience.educationlevel |
Undergraduate |
|
| dc.subject.cip |
302401 |
en |
| dc.subject.cip |
Neuroscience |
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