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Tutorial series in computational topics for brain and cognitive sciences

Tutorial series in computational topics for brain and cognitive sciences. 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.

References, exercises, and sign-ups for future tutorials posted here: https://stellar.mit.edu/S/project/bcs-comp-tut/

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

Tutorial series founded by Emily Mackevicius.


Collection videos

Learning in deep neural networks

Added over 2 years ago | 01:26:25 | 3142 views

Taught by Phillip Isola 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...

Learning in recurrent neural networks

Learning in recurrent neural networks

Added over 2 years ago | 01:16:39 | 3033 views

Taught by Larry Abbott 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....

Collection details

Category
Education
Language
English