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This course gives a mathematical introduction to neural coding and dynamics.
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English
English [CC]
FREE
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Description
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 site.
Course content
- Introduction Unlimited
- Convolution and Correlation 1 Unlimited
- Optional Lecture 1 Unlimited
- Convolution and Correlation 2 Unlimited
- Operant Matching 1 Unlimited
Instructor
Massachusetts Institute of Technology
5
5
1
1916
1520
