Analysis of recordings from the prefrontal cortex (PFC) of monkeys performing a somatosensory working memory task. (Partial figure courtesy Kobak, D., et al. on eLife Sciences. License: CC BY.)
Instructor(s)
Prof. Michale Fee
Daniel Zysman
MIT Course Number
9.40
As Taught In
Spring 2018
Level
Undergraduate
Course Description
Course Features
Course Description
This course 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. It also covers foundational quantitative tools of data analysis in neuroscience: correlation, convolution, spectral analysis, principal components analysis, and mathematical concepts including simple differential equations and linear algebra.