Computational Tutorials Recordings

Recordings

Embedded thumbnail for Learning in deep neural networks (1:26:25)
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...
Embedded thumbnail for Learning in recurrent neural networks (1:16:39)
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...
Embedded thumbnail for Bayesian methods: brain and cognitive perspectives (1:13:59)
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...
Embedded thumbnail for Cluster computing and OpenMind [part 1]
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,...
Embedded thumbnail for Cluster computing and OpenMind [part 2]
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,...

Pages