Embedded thumbnail for What are you searching for? ... and how do you do it? (1:06:03)
Recorded:
Aug 16, 2018
Uploaded:
August 17, 2018
Part of
Brains, Minds and Machines Summer Course 2018
Speaker(s):
Jeremy M. Wolfe
Jeremy M. Wolfe, Brigham & Women's Hospital; Harvard Medical School
Embedded thumbnail for Computational Models of Cognition: Part 3 (41:13)
Recorded:
Aug 16, 2018
Uploaded:
August 16, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Joshua Tenenbaum
Embedded thumbnail for Computational Models of Cognition: Part 2 (1:03:57)
Recorded:
Aug 16, 2018
Uploaded:
August 16, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Joshua Tenenbaum
Embedded thumbnail for Computational Models of Cognition: Part 1 (1:07:34)
Recorded:
Aug 16, 2018
Uploaded:
August 16, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Joshua Tenenbaum
Embedded thumbnail for Tutorial: Psychophysics and Data Analysis (44:52)
Recorded:
Aug 15, 2018
Uploaded:
August 15, 2018
Part of
Brains, Minds and Machines Summer Course 2018
Speaker(s):
Kohitij Kar
Kohitij Kar, MIT
Introduction to common psychophysical methods, including magnitude estimation, matching, detection and discrimination, the two-alternative forced choice paradigm, psychometric curves and signal detection theory, and using...
Embedded thumbnail for Tutorial: Probabilistic Programming (1:09:50)
Recorded:
Aug 15, 2018
Uploaded:
August 15, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Kevin Smith
Kevin Smith, MIT
Probabilistic programming languages facilitate the implementation of generative models of the physical and social worlds that enable probabilistic inference about objects, agents, and events. This tutorial introduces WebPPL...
Embedded thumbnail for Tutorial: Reinforcement Learning  (1:07:33)
Recorded:
Aug 15, 2018
Uploaded:
August 15, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Yen-Ling Kuo, Xavier Boix
Xavier Boix & Yen-Ling Kuo, MIT
Introduction to reinforcement learning, its relation to supervised learning, and value-, policy-, and model-based reinforcement learning methods. Hands-on exploration of the Deep Q-Network and its...
Embedded thumbnail for Recurrent computations for visual pattern completion (publication release video)
Recorded:
Aug 15, 2018
Uploaded:
August 15, 2018
Part of
Publication Releases
CBMM Speaker(s):
Gabriel Kreiman, Martin Schrimpf
Prof. Gabriel Kreiman (Boston Children's Hospital, Harvard Medical School) and graduate student Martin Schrimpf (now a PhD candidate in the Brain and Cognitive Sciences Department at MIT) describe some of the key components to their latest paper...
Embedded thumbnail for Neural Event Triggered fMRI (NET-fMRI) (45:01)
Recorded:
Aug 12, 2018
Uploaded:
August 14, 2018
Part of
Brains, Minds and Machines Summer Course 2018
Speaker(s):
Nikos K. Logothetis
Nikos K. Logothetis, Max Planck Institute for Biological Cybernetics in Tübingen
Overview of the integration of concurrent physiological multi-site recordings with fMRI imaging, and it application to the study of dynamic connectivity related...
Embedded thumbnail for Tutorial: Using Decoding to Understand Neural Algorithms (1:10:34)
Recorded:
Aug 13, 2018
Uploaded:
August 13, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Ethan Meyers
Ethan Meyers, Hampshire College/MIT
Introduction to neural decoding methods to study the neural representations of sensory information in the brain to support recognition, their modulation by task-relevant information from top-down attention,...

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