Dynamical Systems in Neuroscience (34:12)

Dynamical Systems in Neuroscience (34:12)

Date Posted:  January 22, 2016
Date Recorded:  January 22, 2016
Speaker(s):  Seth Egger
  • Computational Tutorials

Introduction to linear dynamical systems, stochastics, and the evolution of probability density, with application to modeling the generation of neural signals.

Taught by: Seth Egger, MIT

Each tutorial consists of a lecture, and then 'office hours' time to work through exercises and discuss current research problems. Tutorials are geared toward grad students and postdocs with some computational interest/background, but who aren't experts in these topics.

Thanks to MIT BCS seminar committee, postdoc committee (especially Evan Remington), and graduate advocate committee for funding and organizing help.

Videos by Kris Brewer from the Center for Minds Brains and Machines.

Tutorial series founded by Emily Mackevicius.

More information can be found here - https://stellar.mit.edu/S/project/bcs-comp-tut/index.html