Learning in recurrent neural networks (1:16:39)
- Computational Tutorials
Taught by: Larry Abbott
Introduction to recurrent neural networks and their application to modeling and understanding real neural circuits.
Exercises and references posted here: https://stellar.mit.edu/S/project/bcs-comp-tut/
Thanks to BCS seminar committee and postdoc committee (especially Evan Remington) for help with organizing and funding. Video editing by Avery Morris. Tutorial series founded by Emily Mackevicius.
More information can be found here - https://stellar.mit.edu/S/project/bcs-comp-tut/index.html