Embedded thumbnail for A Conversation with Prof. Blake Richards
A Conversation with Prof. Blake Richards
Recorded:
May 2, 2019
Uploaded:
May 2, 2019
Part of
Scientific Interviews
CBMM Speaker(s):
Martin Schrimpf
Speaker(s):
Blake Richards
On April 26, 2019, CBMM graduate student Martin Schrimpf took the opportunity to sit down and chat briefly with Prof. Blake Richards of the University of Toronto / McGill University.
Embedded thumbnail for Neural Population Control via Deep Image Synthesis
Neural Population Control via Deep Image Synthesis
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.
Embedded thumbnail for Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior
Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior
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...
Embedded thumbnail for Apical dendrites as a site for gradient calculations
Apical dendrites as a site for gradient calculations
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...
Embedded thumbnail for Principles and applications of relational inductive biases in deep learning
Principles and applications of relational inductive biases in deep learning
Recorded:
Apr 11, 2019
Uploaded:
April 19, 2019
Part of
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...
Embedded thumbnail for A Conversation with Dr. Jon Bloom
A Conversation with Dr. Jon Bloom
Recorded:
Apr 5, 2019
Uploaded:
April 8, 2019
Part of
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.
Embedded thumbnail for The topology of representation teleportation, regularized Oja's rule, and weight symmetry
The topology of representation teleportation, regularized Oja's rule, and weight symmetry
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...
Embedded thumbnail for Neural decoding of spike trains and local field potentials with machine learning in python
Neural decoding of spike trains and local field potentials with machine learning in python
Recorded:
Apr 2, 2019
Uploaded:
April 3, 2019
Part of
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...
Embedded thumbnail for The Power of Self-Learning Systems
The Power of Self-Learning Systems
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...
Embedded thumbnail for Probing memory circuits in the primate brain: from single neurons to neural networks
Probing memory circuits in the primate brain: from single neurons to neural networks
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...

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