9.40 Introduction to Neural Computation
Introduces quantitative approaches to understanding brain and cognitive functions. Topics include mathematical description of neurons, the response of neurons to sensory stimuli, simple neuronal networks, statistical inference and decision making. Also covers foundational quantitative tools of data analysis in neuroscience: correlation, convolution, spectral analysis, principal components analysis. Mathematical concepts include simple differential equations and linear algebra.
9.40 will not be offered this semester. It will be available in the Spring semester, and will be instructed by M. Fee.
Lecture occurs 10:30 AM to 12:00 PM on Tuesdays and Thursdays in 46-3002.
This class counts for a total of 12 credits.
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