Introduction to Neural Computation

Cartoon of a monkey performing a memory task and 10 graphs depicting the data.

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.)


MIT Course Number


As Taught In

Spring 2018



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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.

Related Content

Michale Fee, and Daniel Zysman. 9.40 Introduction to Neural Computation. Spring 2018. Massachusetts Institute of Technology: MIT OpenCourseWare, License: Creative Commons BY-NC-SA.

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