Workshops

Spring 2018

Computational Theories of the Brain

Apr 16, 2018 to Apr 19, 2018

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

Monday, April 16th, 2018
8:30 am–8:50 am		Coffee and Check-In
8:50 am–9:00 am		Opening Remarks
9:00 am–9:45 am		The Prefrontal Cortex as a Meta-Reinforcement Learning System Matthew Botvinick, DeepMind Technologies Limited, London and University College London
9:45 am–10:30 am		Working Memory Influences Reinforcement Learning Computations in Brain and Behavior Anne Collins, UC Berkeley
10:30 am–11:00 am		Break
11:00 am–11:45 am		Predictive Coding Models of Perception David Cox, Harvard University
11:45 am–12:30 pm		TBA Sophie Denève, Ecole Normale Supérieure
12:30 pm–2:30 pm		Lunch
2:30 pm–3:15 pm		Towards Biologically Plausible Deep Learning: Early Inference in Energy-Based Models Approximates Back-Propagation Asja Fischer, University of Bonn
3:15 pm–4:00 pm		Neural Circuitry Underling Working Memory in the Dorsolateral Prefrontal Cortex Veronica Galvin, Yale University
4:00 pm–5:00 pm		Reception

Tuesday, April 17th, 2018
8:30 am–9:00 am		Coffee and Check-In
9:00 am–9:45 am		TBA Surya Ganguli, Stanford University
9:45 am–10:30 am		Does the Neocortex Use Grid Cell-Like Mechanisms to Learn the Structure of Objects? Jeff Hawkins, Numenta
10:30 am–11:00 am		Break
11:00 am–11:45 am		Dynamic Neural Network Structures Through Stochastic Rewiring Robert Legenstein, Graz University of Technology
11:45 am–12:30 pm		Backpropagation and Deep Learning in the Brain Timothy Lillicrap, DeepMind Technologies Limited, London
12:30 pm–2:30 pm		Lunch
2:30 pm–3:15 pm		An Algorithmic Theory of Brain Networks Nancy Lynch, Massachusetts Institute of Technology
3:15 pm–4:00 pm		Networks of Spiking Neurons Learn to Learn and Remember Wolfgang Maass, Graz University of Technology
4:00 pm–4:30 pm		Break
4:30 pm–5:30 pm		Plenary Discussion: What Is Missing in Current Theories of Brain Computation?

Wednesday, April 18th, 2018
8:30 am–9:00 am		Coffee and Check-In
9:00 am–9:45 am		Functional Triplet Motifs Underlie Accurate Predictions of Single-Trial Responses in Populations of Tuned and Untuned v1 Neurons Jason MacLean, University of Chicago
9:45 am–10:30 am		The Sparse Manifold Transform Bruno Olshausen, UC Berkeley
10:30 am–11:00 am		Break
11:00 am–11:45 am		Playing Newton: Automatic Construction of Phenomenological, Data-Driven Theories and Models Ilya Nemenman, Emory University
11:45 am–12:30 pm		A Functional Classification of Glutamatergic Circuits in Cortex and Thalamus S. Murray Sherman, University of Chicago
12:30 pm–2:30 pm		Lunch
2:30 pm–3:15 pm		On the Link Between Energy & Information for the Design of Neuromorphic Systems Narayan Srinivasa, Eta Compute
3:15 pm–4:00 pm		Neural Circuit Representation of Multiple Cognitive Tasks: Clustering and Compositionality XJ Wang, New York University
4:00 pm–4:30 pm		Break
4:30 pm–5:30 pm		Plenary Discussion: How Can One Test/Falsify Current Theories of Brain Computation?

Thursday, April 19th, 2018
8:30 am–9:00 am		Coffee and Check-In
9:00 am–9:45 pm		Control of Synaptic Plasticity in Deep Cortical Networks Pieter Roelfsema, University of Amsterdam
9:45 am–10:30 am		Computation with Assemblies Christos Papadimitriou, Columbia University
10:30 am–11:00 am		Break
11:00 am–11:45 am		Capacity of Neural Networks for Lifelong Learning of Composable Tasks Les Valiant, Harvard University
11:45 am–12:30 pm		An Integrated Cognitive Architecture Greg Wayne, DeepMind Technologies Limited, London