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Computational Theories of the Brain
Program
The Brain and Computation
Location
Calvin Lab auditorium
Date
Monday, Apr. 16
–
Thursday, Apr. 19, 2018
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Click on the titles of individual talks for abstract, slides and archived video.
Monday, Apr. 16, 2018
8:30
–
8:50 a.m.
Coffee and Check-In
8:50
–
9 a.m.
Opening Remarks
9
–
9:45 a.m.
The Prefrontal Cortex as a Meta-Reinforcement Learning System
Matthew Botvinick, DeepMind Technologies Limited, London and University College…
9:45
–
10:30 a.m.
Working Memory Influences Reinforcement Learning Computations in Brain and Behavior
Anne Collins, UC Berkeley
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
Predictive Coding Models of Perception
David Cox, Harvard University
11:45 a.m.
–
12:30 p.m.
TBA
Sophie Denève, Ecole Normale Supérieure
12:30
–
2:30 p.m.
Lunch
2:30
–
3:15 p.m.
Towards Biologically Plausible Deep Learning: Early Inference in Energy-Based Models Approximates Back-Propagation
Asja Fischer, University of Bonn
3:15
–
4 p.m.
Neural Circuitry Underling Working Memory in the Dorsolateral Prefrontal Cortex
Veronica Galvin, Yale University
4
–
5 p.m.
Reception
Tuesday, Apr. 17, 2018
8:30
–
9 a.m.
Coffee and Check-In
9
–
9:45 a.m.
TBA
Surya Ganguli, Stanford University
9:45
–
10:30 a.m.
Does the Neocortex Use Grid Cell-Like Mechanisms to Learn the Structure of Objects?
Jeff Hawkins, Numenta
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
Dynamic Neural Network Structures Through Stochastic Rewiring
Robert Legenstein, Graz University of Technology
11:45 a.m.
–
12:30 p.m.
Backpropagation and Deep Learning in the Brain
Timothy Lillicrap, DeepMind Technologies Limited, London
12:30
–
2:30 p.m.
Lunch
2:30
–
3:15 p.m.
An Algorithmic Theory of Brain Networks
Nancy Lynch, Massachusetts Institute of Technology
3:15
–
4 p.m.
Networks of Spiking Neurons Learn to Learn and Remember
Wolfgang Maass, Graz University of Technology
4
–
4:30 p.m.
Break
4:30
–
5:30 p.m.
Plenary Discussion: What Is Missing in Current Theories of Brain Computation?
Wednesday, Apr. 18, 2018
8:30
–
9 a.m.
Coffee and Check-In
9
–
9:45 a.m.
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
–
10:30 a.m.
The Sparse Manifold Transform
Bruno Olshausen, UC Berkeley
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
Playing Newton: Automatic Construction of Phenomenological, Data-Driven Theories and Models
Ilya Nemenman, Emory University
11:45 a.m.
–
12:30 p.m.
A Functional Classification of Glutamatergic Circuits in Cortex and Thalamus
S. Murray Sherman, University of Chicago
12:30
–
2:30 p.m.
Lunch
2:30
–
3:15 p.m.
On the Link Between Energy & Information for the Design of Neuromorphic Systems
Narayan Srinivasa, Eta Compute
3:15
–
4 p.m.
Neural Circuit Representation of Multiple Cognitive Tasks: Clustering and Compositionality
XJ Wang, New York University
4
–
4:30 p.m.
Break
4:30
–
5:30 p.m.
Plenary Discussion: How Can One Test/Falsify Current Theories of Brain Computation?
Thursday, Apr. 19, 2018
8:30
–
9 a.m.
Coffee and Check-In
9 a.m.
–
9:45 p.m.
Control of Synaptic Plasticity in Deep Cortical Networks
Pieter Roelfsema, University of Amsterdam
9:45
–
10:30 a.m.
Computation with Assemblies
Christos Papadimitriou, Columbia University
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
Capacity of Neural Networks for Lifelong Learning of Composable Tasks
Les Valiant, Harvard University
11:45 a.m.
–
12:30 p.m.
An Integrated Cognitive Architecture
Greg Wayne,
,
DeepMind Technologies Limited, London
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