Embedded thumbnail for The Deep Learning Revolution (1:11:58)
Recorded:
Aug 16, 2018
Uploaded:
August 29, 2018
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2018
Speaker(s):
Terrence Sejnowski
Terrence Sejnowski, Salk Institute for Biological Studies
BMM Summer Course 2018
Reflection on the historical evolution of deep learning in Artificial Intelligence, from perceptrons to deep neural networks that play Go, detect thermal...
Embedded thumbnail for Attention (1:16:35)
Recorded:
Jul 26, 2018
Uploaded:
August 20, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Robert Desimone
Bob Desimone, MIT
Overview of the neural basis of attention in primate vision, evidence for its computational role in enhancing the neural encoding of attended objects in areas V4 and IT, models of the underlying neural circuitry,...
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
Introduction to visual search that examines Treisman’s Feature Integration Theory, features that guide shifts of attention during search, challenges for model development...
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
Josh Tenenbaum, MIT
In this third lecture, Josh Tenenbaum first provides an overview of recent efforts to formulate neurally plausible models for face recognition, intuitive physics, and psychology, that integrate the probabilistic programming...
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
Josh Tenenbaum, MIT
In this second lecture, Josh Tenenbaum first elaborates on an intuitive physics engine that uses a probabilistic framework combined with inverse graphics, to capture aspects of human understanding of the physical behavior...
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
Josh Tenenbaum, MIT
Past work on human intelligence has framed the underlying processes as pattern recognition engines, as manifested in deep convolutional neural networks; prediction engines, as captured in Bayesian networks, causal models,...
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...

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