• Click on the titles of individual talks for abstract, slides and archived video.

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Coffee and Check-In
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Opening Remarks
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The Prefrontal Cortex as a Meta-Reinforcement Learning System

Matthew Botvinick, DeepMind Technologies Limited, London and University College…
Video
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Working Memory Influences Reinforcement Learning Computations in Brain and Behavior

Anne Collins, UC Berkeley
Video
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Break
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Predictive Coding Models of Perception

David Cox, Harvard University
Video
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TBA

Sophie Denève, Ecole Normale Supérieure
Video
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Lunch
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Towards Biologically Plausible Deep Learning: Early Inference in Energy-Based Models Approximates Back-Propagation

Asja Fischer, University of Bonn
Video
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Neural Circuitry Underling Working Memory in the Dorsolateral Prefrontal Cortex

Veronica Galvin, Yale University
Video
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Reception
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Coffee and Check-In
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TBA

Surya Ganguli, Stanford University
Video
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Does the Neocortex Use Grid Cell-Like Mechanisms to Learn the Structure of Objects?

Jeff Hawkins, Numenta
Video
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Break
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Dynamic Neural Network Structures Through Stochastic Rewiring

Robert Legenstein, Graz University of Technology
Video
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Backpropagation and Deep Learning in the Brain

Timothy Lillicrap, DeepMind Technologies Limited, London
Video
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Lunch
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An Algorithmic Theory of Brain Networks

Nancy Lynch, Massachusetts Institute of Technology
Video
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Networks of Spiking Neurons Learn to Learn and Remember

Wolfgang Maass, Graz University of Technology
Video
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Break
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Plenary Discussion: What Is Missing in Current Theories of Brain Computation?
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Coffee and Check-In
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Functional Triplet Motifs Underlie Accurate Predictions of Single-Trial Responses in Populations of Tuned and Untuned v1 Neurons

Jason MacLean, University of Chicago
Video
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The Sparse Manifold Transform

Bruno Olshausen, UC Berkeley
Video
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Break
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Playing Newton: Automatic Construction of Phenomenological, Data-Driven Theories and Models

Ilya Nemenman, Emory University
Video
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A Functional Classification of Glutamatergic Circuits in Cortex and Thalamus

S. Murray Sherman, University of Chicago
Video
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Lunch
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On the Link Between Energy & Information for the Design of Neuromorphic Systems

Narayan Srinivasa, Eta Compute
Video
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Neural Circuit Representation of Multiple Cognitive Tasks: Clustering and Compositionality

XJ Wang, New York University
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Break
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Plenary Discussion: How Can One Test/Falsify Current Theories of Brain Computation?
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Coffee and Check-In
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Control of Synaptic Plasticity in Deep Cortical Networks

Pieter Roelfsema, University of Amsterdam
Video
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Computation with Assemblies

Christos Papadimitriou, Columbia University
Video
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Break
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Capacity of Neural Networks for Lifelong Learning of Composable Tasks

Les Valiant, Harvard University
Video
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An Integrated Cognitive Architecture

Greg Wayne, ,
DeepMind Technologies Limited, London
Video