Introduction to Computational Neuroscience - Free Course from MIT

James · 02-21-2009, 12:31 AM

This course gives a mathematical introduction to neural coding and dynamics. Topics include convolution, correlation, linear systems, game theory, signal detection theory, probability theory, information theory, and reinforcement learning. Applications to neural coding, focusing on the visual system are covered, as well as Hodgkin-Huxley and other related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission.

MIT OpenCourseWare | Brain and Cognitive Sciences | 9.29J Introduction to Computational Neuroscience, Spring 2004 | Download this Course

arvindmer · 06-12-2009, 03:08 PM

Hi James,

There is nothing much about "stochastic models of ion channels" in this course material. I am a Graduate Programs and looking for a good material in stochastic models of ion channels. Can u suggest me something.

cordellpascall · 09-29-2009, 09:55 AM

Thanks james but i can't open download link using firefox any one else with same problem

James · 10-01-2009, 12:06 AM

Quote:

Originally Posted by cordellpascall

Thanks james but i can't open download link using firefox any one else with same problem

you can try to download directly from mit site. link

James · 10-01-2009, 01:07 AM

Quote:

Originally Posted by arvindmer

Hi James,

There is nothing much about "stochastic models of ion channels" in this course material. I am a Graduate Programs and looking for a good material in stochastic models of ion channels. Can u suggest me something.

i will let you know as soon as i find something.

02-21-2009, 12:31 AM	#1 (permalink)
James Senior Member Join Date: Feb 2009 Posts: 760	Introduction to Computational Neuroscience - Free Course from MIT This course gives a mathematical introduction to neural coding and dynamics. Topics include convolution, correlation, linear systems, game theory, signal detection theory, probability theory, information theory, and reinforcement learning. Applications to neural coding, focusing on the visual system are covered, as well as Hodgkin-Huxley and other related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission. MIT OpenCourseWare \| Brain and Cognitive Sciences \| 9.29J Introduction to Computational Neuroscience, Spring 2004 \| Download this Course Last edited by James; 10-01-2009 at 01:05 AM.

06-12-2009, 03:08 PM	#2 (permalink)
arvindmer Junior Member Join Date: Jun 2009 Location: India Posts: 2	stochastic models of ion channels Hi James, There is nothing much about "stochastic models of ion channels" in this course material. I am a Graduate Programs and looking for a good material in stochastic models of ion channels. Can u suggest me something.

09-29-2009, 09:55 AM	#3 (permalink)
cordellpascall Junior Member Join Date: Sep 2009 Posts: 3	Thanks james but i can't open download link using firefox any one else with same problem Last edited by cordellpascall; 10-05-2009 at 02:29 AM.

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