Computational Tutorials Recordings
Recordings
Jun 17, 2015
Introduction to using and understanding deep neural networks, their application to visual object recognition, and software tools for building deep neural network models.
Taught By: Phillip Isola, MIT
Exercises and references posted here: https://stellar.mit.edu/S/project/bcs-comp-tut/
Thanks to BCS...
Jun 10, 2015
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...
Jun 9, 2015
Taught By: Mehrdad Jazayeri and Josh Tenenbaum, MIT
An introduction to Bayesian estimation and its application to estimating visual contrast from neural activity.
Lecture slides, references, exercises, and sign-ups for future tutorials are posted here: https://stellar.mit.edu/S/project/bcs-comp-tut...
Cluster computing and OpenMind tutorial from the tutorial series in computational topics for brain and cognitive sciences. Lecture slides, references, exercises, and sign-ups for future tutorials are posted here: https://stellar.mit.edu/S/project/bcs-comp-tut/
Each tutorial consists of a lecture,...
Cluster computing and OpenMind tutorial from the tutorial series in computational topics for brain and cognitive sciences. Lecture slides, references, exercises, and sign-ups for future tutorials are posted here: https://stellar.mit.edu/S/project/bcs-comp-tut/
Each tutorial consists of a lecture,...