9.40 | Spring 2018 | Undergraduate

Introduction to Neural Computation

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 …
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.
Learning Resource Types
Lecture Videos
Lecture Notes
Problem Sets
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.)