Embedded thumbnail for 2015 Undergraduate Summer Research Internships in Neuroscience
Uploaded:
March 23, 2016
Part of
CBMM Programs
Embedded thumbnail for Bayesian methods: brain and cognitive perspectives (1:13:59)
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...
Embedded thumbnail for Learning in deep neural networks (1:26:25)
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://...
Embedded thumbnail for Learning in recurrent neural networks (1:16:39)
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/S/project/bcs-comp-tut/ Thanks to BCS seminar...
Embedded thumbnail for MIT150 - Marvin Minsky
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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...
Embedded thumbnail for Dynamical Systems in Neuroscience (34:12)
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'...
Embedded thumbnail for Dimensionality Reduction II (29:54)
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...
Embedded thumbnail for Dimensionality Reduction I  (31:30)
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 1]
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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/S/project/...
Embedded thumbnail for Cluster computing and OpenMind [part 2]
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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/S/project/...

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