9.29J / 9.912J / 8.261J Introduction to Computational Neuroscience
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9.29J / 9.912J / 8.261J Introduction to Computational Neuroscience

        

9.29J / 9.912J / 8.261J Introduction to Computational Neuroscience

Logo for 9.29J / 9.912J / 8.261J Introduction to Computational Neuroscience
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. Visit the Seung Lab Web... More
Material Type: Online Course
Date Added to MERLOT: June 09, 2011
Date Modified in MERLOT: June 09, 2011
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Language: English
Cost Involved: no
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Creative Commons: Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States

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