CRCNS 2017

June 14-16, 2017 Brown University, Providence RI


WEDNESDAY, June 14, 2017
8:40-9:00Opening RemarksMatthew Harrison and Stephanie Jones
Brown University
9:00-10:15S E S S I O N 1CHAIR: Michael Frank, Brown University
9:00-9:50Keynote Lecture
Deep reinforcement learning: Recent developments in AI and their implications for neuroscience [PDF]
Matthew Botvinick
DeepMind and University College London
9:50-10:15Toward socially aware computing and artificial intelligenceMing Hsu
University of California, Berkeley
10:45-12:00S E S S I O N 2CHAIR: Carl Saab, Brown University
10:45-11:10Pain intensity coding in the anterior cingulate cortexJing Wang
New York University Langone Medical Center
11:10-11:35Magnetic resonance elastography for brain studies with intrinsic actuationKeith Paulsen
Dartmouth University
11:35-12:00What wakes us up? Networked circadian clocksErik Herzog
Washington University, St. Louis
Hans-Peter Herzel
Institute for Theoretical Biology, Berlin
1:00-2:15S E S S I O N 3CHAIR: Wael Asaad, Brown University
1:00-1:25Striatal interneuron subtypes coordinate distinct aspects of network dynamics and motor plansXue Han
Boston University
1:25-1:50Cell-Specific Pallidal Intervention Induces Long-Lasting Motor Recovery in Dopamine Depleted MiceAryn Gittis
Carnegie Mellon University
1:50-2:15Force encoding in muscle spindles: Towards a multiscale model for sensorimotor feedback controlLena Ting
Emory University and Georgia Institute of Technology
2:15-2:45BROADER IMPACTS PANELCHAIR: Thomas Serre, Brown University
2:15-2:45Broader Impacts Panel:
Undergraduate training in computational neuroscience
Rick Gerkin
Arizona State University
Venkatesh Gopal
Elmhurst College
John Hale
Cornell University
Mitra Hartmann
Northwestern University
Michael Spezio
Scripps College
3:15-4:30S E S S I O N 4CHAIR: David Sheinberg, Brown University
3:15-3:40Optogenetic probing of glycinergic neuron function in brainstem respiratory circuitsYaroslav Molkov
Georgia State University
3:40-4:05Patient-specific models of local field potentials recorded from deep brain stimulation electrodesCameron McIntyre
Case Western Reserve University
4:05-4:30OPTISTIM - Combining computational neuroscience and electrophysiology for optimal cortical electric stimulationDana Brooks
University of Utah and Northeastern University
THURSDAY, June 15, 2017
8:55-9:00Opening RemarksMatthew Harrison and Stephanie Jones
Brown University
9:00-10:15S E S S I O N 5CHAIR: Takeo Watanabe, Brown University
9:00-9:50Keynote Lecture
Data-driven mimicking neural encoding/decoding systems
Shin Ishii
Kyoto University
9:50-10:15A fast, foveated, fully convolutional network model for human peripheral visionRuth Rosenholtz
Massachusetts Institute of Technology
10:45-12:00S E S S I O N 6CHAIR: Amitai Shenhav, Brown University
10:45-11:10A two-stage model of sensory discrimination: An alternative to drift-diffusionMichael Landy
New York University
11:10-11:35Learning symbolic representations for planning in hierarchical reinforcement learningGeorge Konidaris
Brown University
11:35-12:00Modelling theory of mind in the volunteer's dilemma using Partially Observable Markov Decision Processes (POMDPs)Rajesh Rao
University of Washington
1:00-2:45S E S S I O N 7CHAIR: Wilson Truccolo, Brown University
1:00-1:25Finding essential nodes for integration in the brain using network optimization theoryHernan Makse
City College of New York
1:25-1:50Neural dynamics of the of the formation of spatial maps during fully-mobile human navigationScott Makeig
University of California, San Diego
1:50-2:15Dynamic network analysis of human seizures for therapeutic interventionEric Kolaczyk
Boston University
2:15-2:45Funding Q&AMichele Ferrante, NIMH (US) [PDF]
Takahisa Taguchi, NICT (Japan)
Kenneth Whang, NSF (US) [PDF]
3:15-4:55S E S S I O N 8Theresa Desrochers, Brown University
3:15-3:40Correlated variability in cerebral cortex at criticality during visionRalf Wessel
Washington University in St Louis
3:40-4:05The generation and subtraction of predictions enhances neural coding and behavioral detection of external stimuli in an electric fishNathaniel Sawtell
Columbia University
4:05-4:30Using high-order acoustic and neural response statistics to categorize sounds in that mammalian auditory midbrainHeather Read
University of Connecticut
4:30-4:55Maximum entropy models of population codes based on random projectionsElad Schneidman
Weizmann Institute of Science
6:30-9:00BANQUET at the DORRANCE

Workshop on Integrating Dynamics and Statistics in Neuroscience

Friday, June 16, 2017 –¬†optional
To be held at the Institute for Computational and Experimental Research in Mathematics (ICERM), adjacent to Brown’s campus.¬†

FRIDAY, June 16, 2017
9:00-9:10Opening Remarks
9:10-9:45The problem of dynamic network analysisRobert Kass
Carnegie Mellon University
9:45-10:20Integrating physical and statistical models in neuroscience: some examplesMark Kramer
Boston University
10:50-11:25Building functional nervous system networks from the bottom upHenry Abarbanel
University of California, San Diego
11:25-12:00Dynamics to coding through biophysics of single neuronsAdrienne Fairhall
University of Washington
1:00-1:35Neurobiology, brain imaging and information processingDimitris Pinotsis
Massachusetts Institute of Technology
1:35-2:10Inferring the source of fluctuation in neuronal activityShigeru Shinomoto
Kyoto University
2:40-3:15Data-driven geometry learning for parametrically-dependent dynamical systems with application to neuronal dynamicsRonald Coifman
Yale University
3:15-3:30FORMAL DISCUSSION in lecture hall
3:30-5:00Informal discussion at ICERM


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