Embedded thumbnail for Fit Without Fear: An Over-Fitting Perspective on Modern Deep and Shallow Learning
Recorded:
Apr 18, 2018
Uploaded:
April 19, 2018
Part of
CBMM Special Seminars
Speaker(s):
Mikhail Belkin, Ohio State University
Abstract: A striking feature of modern supervised machine learning is its pervasive over-parametrization. Deep networks contain millions of parameters, often exceeding the number of data points by orders of magnitude. These networks are trained to...
Embedded thumbnail for Is a Turing test for intelligence equivalent to a Turing test for consciousness?
Recorded:
Apr 13, 2018
Uploaded:
April 13, 2018
Part of
Brains, Minds and Machines Seminar Series
CBMM Speaker(s):
Christof Koch
Abstract: Rapid advances in convolutional networks and other machine learning techniques, in combination with large data bases and the relentless hardware advances due to Moore’s Law, have brought us closer to the day when we will be able to have...
Embedded thumbnail for  A conversation with Dr. Ann Hermundstad
Recorded:
Feb 16, 2018
Uploaded:
February 22, 2018
Part of
Scientific Interviews
Speaker(s):
Dr. Ann Hermundstad
On February 16, 2018, CBMM Postdoc Wiktor Mlynarski took the opportunity to sit down and chat briefly with Dr. Ann Hermundstad of the Janelia Research Campus.
Embedded thumbnail for How Can the Brain Efficiently Build an Understanding of the Natural World
Recorded:
Feb 16, 2018
Uploaded:
February 16, 2018
Part of
All Captioned Videos, CBMM Special Seminars
Speaker(s):
Ann M. Hermundstad
Ann M. Hermundstad, PhD, Janelia Research Campus Abstract: The brain exploits the statistical regularities of the natural world. In the visual system, an efficient representation of light intensity begins in retina, where statistical redundancies...
Embedded thumbnail for Nancy Tells a Story to Introduce her New Course: The Human Brain
Recorded:
Feb 7, 2018
Uploaded:
February 13, 2018
CBMM Speaker(s):
Nancy Kanwisher
Prof. Nancy Kanwisher, MIT For more of Nancy's short talks about the brain, go here - http://nancysbraintalks.mit.edu This story serves as the introduction to Nancy's new course, "The Human Brain". Select lectures from her course will be appearing...
Recorded:
Dec 7, 2017
Uploaded:
January 24, 2018
CBMM Speaker(s):
Joshua Tenenbaum
Josh Tenenbaum, MIT 30 minute presentation at Kinds of intelligence: types, tests and meeting the needs of society NIPS2017 Symposium - Center (Beverley) Theater, Long Beach Convention Center, CA.
Embedded thumbnail for How the Brain Pays Attention
Recorded:
Jan 5, 2018
Uploaded:
January 5, 2018
CBMM Speaker(s):
Robert Desimone
Robert Desimone, MIT
Embedded thumbnail for Systems Neuroscience Using fMRI: Studying the Brain to Understand the Mind
Recorded:
Jan 3, 2018
Uploaded:
January 5, 2018
CBMM Speaker(s):
Idan Blank
Idan Blank, MIT
Embedded thumbnail for Have We Missed Half of What the Neocortex Does? Allocentric Location as the Basis of Perception
Recorded:
Dec 15, 2017
Uploaded:
December 15, 2017
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Jeff Hawkins
Jeff Hawkins, Co-Founder, Numenta Abstract:  In this talk I will describe a theory that sensory regions of the neocortex process two inputs. One input is the well-known sensory data arriving via thalamic relay cells. We propose the second input is a...
Embedded thumbnail for From Motor Control to Scene Perception: Using Machine Learning to Study Human Behavior and Cognition
Recorded:
Dec 1, 2017
Uploaded:
December 7, 2017
Speaker(s):
Akram Bayat
Akram Bayat, UMass Boston Abstract: In this presentation, as part of my work at UMass Boston, two dimensions of implementing machine learning algorithms for solving two important real world problems are discussed. In the first part, we model human...

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