have an interactive transcript feature enabled, which appears below the video when playing. Viewers can search for keywords in the video or click on any word in the transcript to jump to that point in the video. When searching, a dark bar with white vertical lines appears below the video frame. Each white line is an occurrence of the searched term and can be clicked on to jump to that spot in the video.
Uploaded:
March 23, 2016
Part of
CBMM Programs
Recorded:
Jun 9, 2015
Uploaded:
March 10, 2016
Part of
Computational Tutorials
CBMM Speaker(s):
Joshua Tenenbaum
Speaker(s):
Mehrdad Jazayeri
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...
Recorded:
Jun 10, 2015
Uploaded:
March 10, 2016
Part of
Computational Tutorials
Speaker(s):
Larry Abbott
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.ezproxyberklee.flo.org/S/project/bcs-comp-tut/
Thanks to BCS seminar...
Recorded:
Jun 17, 2015
Uploaded:
March 10, 2016
Part of
Computational Tutorials
Speaker(s):
Phillip Isola
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://...
Uploaded:
January 28, 2016
Excerpt of Marvin Minsky's talk as part of the Keynote Panel for the MIT150: Brains, Minds and Machines Symposium entitled "The Golden Age: A Look at the Original Roots of Artificial Intelligence, Cognitive Science, and Neuroscience"
Recorded May 3...
Recorded:
Jan 22, 2016
Uploaded:
January 22, 2016
Part of
Computational Tutorials
Speaker(s):
Seth Egger
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'...
Recorded:
Jan 21, 2016
Uploaded:
January 21, 2016
Part of
Computational Tutorials
Speaker(s):
Sam Norman-Haignere
Taught by: Sam Norman-Haignere
Dimensionality Reduction using the method of Independent Components Analysis, and its application to the analysis of fMRI data. Dimensionality Reduction II tutorial from the tutorial series in computational topics for...
Recorded:
Jan 19, 2016
Uploaded:
January 19, 2016
Part of
Computational Tutorials
CBMM Speaker(s):
Emily Mackevicius
Speaker(s):
Ciccarelli
Taught by: Emily Mackevicius and Greg Ciccarelli
Introduction to dimensionality reduction and the methods of Principal Components Analysis and Singular Value Decomposition. Dimensionality Reduction I tutorial from the tutorial series in...
![Embedded thumbnail for Cluster computing and OpenMind [part 2]](https://cbmm-mit-edu.ezproxyberklee.flo.org/sites/default/files/styles/youtube_thumbnail_220w/public/youtube/w4Fdj9t3xRc.jpg?itok=U1AloQZc)
Uploaded:
January 12, 2016
Part of
Computational Tutorials
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.ezproxyberklee.flo.org/S/project/...
![Embedded thumbnail for Cluster computing and OpenMind [part 1]](https://cbmm-mit-edu.ezproxyberklee.flo.org/sites/default/files/styles/youtube_thumbnail_220w/public/youtube/QTvNTEh04to.jpg?itok=JNo35sid)
Uploaded:
January 12, 2016
Part of
Computational Tutorials
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.ezproxyberklee.flo.org/S/project/...