Embedded thumbnail for Learning what we know and knowing what we learn: Gaussian process priors for neural data analysis
Recorded:
Jul 8, 2021
Uploaded:
July 12, 2021
Part of
All Captioned Videos, Computational Tutorials
Speaker(s):
Guillaume Hennequin, Kris Jensen
Guillaume Hennequin, Kris Jensen - University of Cambridge Colab notebooks: Introduction to FA and GPFA as probabilistic generative models Fitting an example data set from a primate reaching task with GPFA Additional papers and resources...
Embedded thumbnail for Connectomics at the Nano and Petascale
Recorded:
Aug 13, 2019
Uploaded:
July 12, 2021
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2019
Speaker(s):
Jeff Lichtman
Jeff Lichtman, Harvard University
Embedded thumbnail for Next-generation recurrent network models for cognitive neuroscience
Recorded:
Jun 15, 2021
Uploaded:
June 16, 2021
Part of
All Captioned Videos, CBMM Special Seminars
CBMM Speaker(s):
Guangyu Robert Yang
Recurrent Neural Networks (RNNs) trained with machine learning techniques on cognitive tasks have become a widely accepted tool for neuroscientists. In comparison to traditional computational models in neuroscience, RNNs can offer substantial...
Embedded thumbnail for Banach Space Representer Theorems for Neural Networks
Recorded:
Jun 8, 2021
Uploaded:
June 9, 2021
Part of
All Captioned Videos, CBMM Special Seminars
Speaker(s):
Robert Nowak
Prof. Robert D. Nowak, University of Wisconsin-Madison Abstract: This talk presents a variational framework to understand the properties of functions learned by neural networks fit to data. The framework is based on total variation semi-norms...
Embedded thumbnail for Something Else About Working Memory
Recorded:
May 11, 2021
Uploaded:
May 12, 2021
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Earl K. Miller
Prof. Earl K. Miller, Picower Institute for Learning and Memory, BCS Dept., MIT Abstract: Working memory is the sketchpad of consciousness, the fundamental mechanism the brain uses to gain volitional control over its thoughts and actions. For the...
Embedded thumbnail for Compositional Generative Networks & Adversarial Examiners: Beyond the Limitations of Current AI
Recorded:
May 4, 2021
Uploaded:
May 5, 2021
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
CBMM Speaker(s):
Alan L. Yuille
Current AI visual algorithms are very limited compared to the robustness and flexibility of the human visual system. These limitations, however, are often obscured by the standard performance measures (SPMs) used to evaluate vision algorithms which...
Embedded thumbnail for CBMM Panel Discussion: “Testing generative models in the brain”
Recorded:
Apr 13, 2021
Uploaded:
April 16, 2021
Part of
All Captioned Videos, CBMM Special Seminars
CBMM Speaker(s):
Joshua Tenenbaum, Samuel Gershman
Speaker(s):
Talia Konkle, Ila Fiete
Panelists: Profs. Talia Konkle (Harvard), Josh Tenenbaum (MIT), and Sam Gershman (Harvard)
Moderator: Prof. Ila Fiete (MIT
Embedded thumbnail for Exiting flatland: measuring, modeling, and synthesizing animal behavior in 3D
Recorded:
Apr 8, 2021
Uploaded:
April 9, 2021
Part of
All Captioned Videos, Computational Tutorials
Speaker(s):
Jesse Marshall, Harvard University
Mechanistic studies of complex, ethological animal behaviors are poised to define the next decade of neuroscience. Fully understanding the ontogeny, evolution, and neural basis of these behaviors requires precise 3D measurements of their underlying...
Embedded thumbnail for Invariant representation of physical stability in the human brain
Recorded:
Mar 16, 2021
Uploaded:
March 23, 2021
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
R.T. Pramod
Successful engagement with the world requires the ability to predict what will happen next. Although some of our predictions are related to social situations concerning other people and what they will think and do, many of our predictions concern...
Embedded thumbnail for From Associative Memories to Deep Networks and from Associative Memories to Universal Machines
Recorded:
Mar 10, 2021
Uploaded:
March 9, 2021
Part of
All Captioned Videos, CBMM Special Seminars
CBMM Speaker(s):
Tomaso Poggio, Kenneth Blum
Speaker(s):
Christos Papadimitriou, Santosh Vempala
Panelists: Profs. Christos Papadimitriou (Columbia), Tomaso A. Poggio (CBMM, MIT) and Santosh Vempala (Georgia Tech)
Moderator: Kenneth Blum Abstract: About fifty years ago, holography was proposed as a model of associative memory. Associative...

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