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NeuroAI 2024: Center for Cognitive Neuroscience Workshop on Neuroscience and Artificial Intelligence

Organizers: Michael Casey, Emily Finn, Jeremy Manning, Caroline Robertson, Dan Rockmore, Arjen Stolk, Soroush Vosoughi, Tor Wager

Dates: October 21 and October 22, 2024

Co-sponsored by the Center for Cognitive Neuroscience and the Breaking the Neural Code Cluster

Program

Speakers

Mark Churchland, Columbia University

From spikes to factors: Understanding large-scale neural computations

Jiahui Guo, University of Texas at Dallas

Modeling naturalistic face processing in humans with deep convolutional neural networks

Leyla Isik, Johns Hopkins University

Seeing social interactions

Souyoung Jin, Dartmouth College

Multi-modal video understanding

Matt Jones, University of Colorado Boulder

Human-like learning in nonstationary environments

Josh McDermott, Massachusetts Institute of Technology

New models of human hearing via machine learning

Ratan Murty, Georgia Institute of Technology

Executable NeuroAI models for human cognitive neuroscience

Randall O'Reilly, University of California, Davis

AI won't think for itself until it wants to

David Sussillo, Meta Reality Labs & Stanford University

Brain-wide population dynamics of decision-making under uncertainty

Dan Yamins, Stanford University

Counterfactual world modeling

Yujun Yan, Dartmouth College

From black box to insight: Explainable neural networks for brain data predictions

Discussant

Hervé Abdi, University of Texas at Dallas

Anjali Krishnan, Brooklyn College, City University of New York