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Last updated:
December 5, 2022
Duration:
Unlimited Duration
FREE
This course includes:
Unlimited Duration
Badge on Completion
Certificate of completion
Unlimited Duration
Description
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 site.
Course Curriculum
- Introduction Unlimited
- Convolution and Correlation 1 Unlimited
- Optional Lecture 1 Unlimited
- Convolution and Correlation 2 Unlimited
- Operant Matching 1 Unlimited
About the instructor
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Courses
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Students
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Massachusetts Institute of Technology