Recorded:
Apr 25, 2019
Uploaded:
May 2, 2019
Part of
All Captioned Videos, Publication Releases
CBMM Speaker(s):
James DiCarlo, Pouya Bashivan, Kohitij Kar
Center for Brains, Minds and Machines researchers and paper authors Jim DiCarlo, Pouya Bashivan and Kohitij Kar discuss their recent research findings as published in the journal Science.
Recorded:
Apr 25, 2019
Uploaded:
April 29, 2019
Part of
All Captioned Videos, Publication Releases
CBMM Speaker(s):
James DiCarlo, Kohitij Kar
Speaker(s):
Diane Beck
Center for Brains, Minds and Machines researchers and paper authors Jim DiCarlo and Kohitij Kar discuss their recent research findings as published in the journal Nature Neuroscience. Diane Beck of the University of Illinois, Beckman Institute...
Recorded:
Apr 26, 2019
Uploaded:
April 26, 2019
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Blake Richards
Blake Richards, Assistant Professor, Associate Fellow of the Canadian Institute for Advanced Research (CIFAR)
Abstract:
Theoretical and empirical results in the neural networks literature demonstrate that effective learning at a real-world scale...
Recorded:
Apr 11, 2019
Uploaded:
April 19, 2019
Part of
All Captioned Videos, Computational Tutorials
CBMM Speaker(s):
Kelsey Allen
Kelsey Allen, MIT
Common intuition posits that deep learning has succeeded because of its ability to assume very little structure in the data it receives, instead learning that structure from large numbers of training examples. However, recent work...
Recorded:
Apr 5, 2019
Uploaded:
April 8, 2019
Part of
All Captioned Videos, Scientific Interviews
CBMM Speaker(s):
Andrzej Banburski
Speaker(s):
Jon Bloom, Broad Institute
On April 5, 2019, CBMM Postdoc Andrzej Banburski took the opportunity to sit down and chat briefly with Dr. Jon Bloom of the Broad Institute.
Recorded:
Apr 2, 2019
Uploaded:
April 3, 2019
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Jon Bloom
Speaker: Dr. Jon Bloom, Broad Institute
Abstract: When trained to minimize reconstruction error, a linear autoencoder (LAE) learns the subspace spanned by the top principal directions but cannot learn the principal directions themselves. In...
Recorded:
Apr 2, 2019
Uploaded:
April 3, 2019
Part of
All Captioned Videos, Computational Tutorials
Speaker(s):
Omar Costilla Reyes
Speaker: Omar Costilla Reyes, PhD
Neural decoding has applications in neuroscience from understanding neural populations to build brain-computer interfaces. In this computational tutorial, I will introduce neural decoding principles from a machine...
Recorded:
Mar 20, 2019
Uploaded:
March 27, 2019
Part of
All Captioned Videos, CBMM Special Seminars
CBMM Speaker(s):
Demis Hassabis
Demis Hassabis, Co-Founder & CEO, Google DeepMind
Abstract: Demis Hassabis discusses the capabilities and power of self-learning systems. He illustrates this capability with some of DeepMind's recent breakthroughs and discusses the implications...
Recorded:
Mar 22, 2019
Uploaded:
March 25, 2019
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Julio Martinez-Trujillo
Julio Martinez-Trujillo, Robarts Researc & Brain and Mind Institute, University of Western Ontario
Abstract: The brain’s memory systems are like time machines for thought: they transport sensory experiences from the past to the present, to guide...
Recorded:
Mar 22, 2019
Uploaded:
March 25, 2019
Part of
All Captioned Videos, Scientific Interviews
CBMM Speaker(s):
Diego Mendoza-Halliday
Speaker(s):
Julio Martinez-Trujillo
On March 22, 2019, CBMM Postdoc Diego Mendoza-Halliday took the opportunity to sit down and chat briefly with Prof. Julio Martinez-Trujillo of the Robarts Research Institute.