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MITCBMM

CBMM Research Talks

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Last updated on Dec 19, 2023
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CBMM Research Meeting: Panel Discussion with Niko Kriegeskorte - Deep Networks, The Brain and AI
1:32:48
From Motor Control to Scene Perception: Using Machine Learning to Study Human Behavior and Cognition
22:37
REND: A Reinforced Network-Based Model for Clustering Sparse Data with Application to...
38:33
Predictive Maps in the Brain
53:04
Stability of overparametrized learning models
1:16:56
Sobolev Independence Criterion: Non-Linear Feature Selection with False Discovery Control.
49:22
AI for physics & physics for AI
49:04
Successes and Failures of Neural Network Models of Hearing
58:14
Modular Learning and Reasoning on ARC
1:31:55
Module 2 Research Update
1:29:44
Invariant representation of physical stability in the human brain
49:30
Towards a mechanistic understanding of compositionality
1:00:53
Parallel systems for social and spatial reasoning within the brain's apex network
46:08
What you see is what IT gets: Responses in primate visual cortex during natural viewing
37:45
Attention Approximates Sparse Distributed Memory
27:07
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
21:52
Neurons that structure memories of ordered experience in human
34:32
Wobbling, drooping, bouncing - Visual perception of materials and their properties
41:06
Introduction to transformer architecture and discussion
1:08:30
Model-agnostic Measure of Generalization Difficulty
1:07:30
Using Embodied AI to help answer”why” questions in systems neuroscience
56:19
The Simplest Neural Model and a Hypothesis for Language
56:14