Recorded:
May 29, 2018
Uploaded:
September 14, 2018
Part of
All Captioned Videos, AFNI Training Bootcamp
Speaker(s):
Rick Reynolds, NIMH
Rick Reynolds, NIMH
Related documents:
afni16_start_to_finish.pdf
For more information and course materials, please visit the workshop website: http://cbmm.mit.edu/afni
We recommend viewing the videos at 1920 x 1080 (Full HD) resolution for the best...
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...
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...
Recorded:
Jul 26, 2018
Uploaded:
August 20, 2018
Part of
All Captioned Videos, 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,...
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,...
Recorded:
Aug 16, 2018
Uploaded:
August 17, 2018
Part of
All Captioned Videos, 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...
Introduction to visual search that examines Treisman’s Feature Integration Theory, features that guide shifts of attention during search, challenges for model development...
Recorded:
Aug 16, 2018
Uploaded:
August 16, 2018
Part of
All Captioned Videos, 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...
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...
Recorded:
Aug 16, 2018
Uploaded:
August 16, 2018
Part of
All Captioned Videos, 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...
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...
Recorded:
Aug 16, 2018
Uploaded:
August 16, 2018
Part of
All Captioned Videos, 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,...
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,...
Recorded:
Aug 15, 2018
Uploaded:
August 15, 2018
Part of
All Captioned Videos, 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...
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...
Recorded:
Aug 15, 2018
Uploaded:
August 15, 2018
Part of
All Captioned Videos, 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...
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...
Recorded:
Aug 15, 2018
Uploaded:
August 15, 2018
Part of
All Captioned Videos, 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...
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...