Semester.ly

Johns Hopkins University | AS.080.321

Computational Neuroscience

3.0

credits

Average Course Rating

(4.22)

This course is designed to give students an overview of computational neuroscience. The topics discussed will cover many exciting domains of the field including neural coding, decision-making, learning, attention and connectomics. Lectures will be complemented with hands on experience working with computational models using Matlab and/or other programming language. The overarching goal of the course is to increase overall literacy in the field of computational neuroscience and to gain an appreciation of the interplay between experimental and theoretical neuroscience.

Spring 2023

Professor: Jason Trageser

(4.22)