June 14-16, 2017 Brown University, Providence RI
<!–The main conference will be held at the Salomon Center for Teaching located at 79 Waterman Street, Providence, RI 02906 – access from the main green.
The poster session and reception of Wednesday, June 14, will be held in Sayles Hall at 81 Waterman Street, with access from the main green. Posters will also be on display during lunch on Thursday.–>
CRCNS 2017 FINAL PROGRAM
8:00-8:40 | BREAKFAST and REGISTRATION | |
8:40-9:00 | Opening Remarks | Matthew Harrison and Stephanie Jones Brown University |
9:00-10:15 | S E S S I O N 1 | CHAIR: Michael Frank, Brown University |
9:00-9:50 | Keynote Lecture Deep reinforcement learning: Recent developments in AI and their implications for neuroscience [PDF] | Matthew Botvinick DeepMind and University College London |
9:50-10:15 | Toward socially aware computing and artificial intelligence | Ming Hsu University of California, Berkeley |
10:15-10:45 | BREAK | |
10:45-12:00 | S E S S I O N 2 | CHAIR: Carl Saab, Brown University |
10:45-11:10 | Pain intensity coding in the anterior cingulate cortex | Jing Wang New York University Langone Medical Center |
11:10-11:35 | Magnetic resonance elastography for brain studies with intrinsic actuation | Keith Paulsen Dartmouth University |
11:35-12:00 | What wakes us up? Networked circadian clocks | Erik Herzog Washington University, St. Louis Hans-Peter Herzel Institute for Theoretical Biology, Berlin |
12:00-1:00 | LUNCH | |
1:00-2:15 | S E S S I O N 3 | CHAIR: Wael Asaad, Brown University |
1:00-1:25 | Striatal interneuron subtypes coordinate distinct aspects of network dynamics and motor plans | Xue Han Boston University |
1:25-1:50 | Cell-Specific Pallidal Intervention Induces Long-Lasting Motor Recovery in Dopamine Depleted Mice | Aryn Gittis Carnegie Mellon University |
1:50-2:15 | Force encoding in muscle spindles: Towards a multiscale model for sensorimotor feedback control | Lena Ting Emory University and Georgia Institute of Technology |
2:15-2:45 | BROADER IMPACTS PANEL | CHAIR: Thomas Serre, Brown University |
2:15-2:45 | Broader Impacts Panel: Undergraduate training in computational neuroscience | Rick Gerkin[PDF] Arizona State University Venkatesh Gopal[PDF] Elmhurst College John Hale[PDF] Cornell University Mitra Hartmann Northwestern University Michael Spezio Scripps College |
2:45-3:15 | BREAK | |
3:15-4:30 | S E S S I O N 4 | CHAIR: David Sheinberg, Brown University |
3:15-3:40 | Optogenetic probing of glycinergic neuron function in brainstem respiratory circuits | Yaroslav Molkov Georgia State University |
3:40-4:05 | Patient-specific models of local field potentials recorded from deep brain stimulation electrodes | Cameron McIntyre Case Western Reserve University |
4:05-4:30 | OPTISTIM - Combining computational neuroscience and electrophysiology for optimal cortical electric stimulation | Dana Brooks University of Utah and Northeastern University |
4:30-5:00 | LEISURE TIME | |
5:00-8:00 | POSTER PRESENTATIONS/RECEPTION | |
8:15-8:55 | BREAKFAST and REGISTRATION | |
8:55-9:00 | Opening Remarks | Matthew Harrison and Stephanie Jones Brown University |
9:00-10:15 | S E S S I O N 5 | CHAIR: Takeo Watanabe, Brown University |
9:00-9:50 | Keynote Lecture Data-driven mimicking neural encoding/decoding systems | Shin Ishii Kyoto University |
9:50-10:15 | A fast, foveated, fully convolutional network model for human peripheral vision | Ruth Rosenholtz Massachusetts Institute of Technology |
10:15-10:45 | BREAK | |
10:45-12:00 | S E S S I O N 6 | CHAIR: Amitai Shenhav, Brown University |
10:45-11:10 | A two-stage model of sensory discrimination: An alternative to drift-diffusion | Michael Landy New York University |
11:10-11:35 | Learning symbolic representations for planning in hierarchical reinforcement learning | George Konidaris Brown University |
11:35-12:00 | Modelling theory of mind in the volunteer's dilemma using Partially Observable Markov Decision Processes (POMDPs) | Rajesh Rao University of Washington |
12:00-1:00 | LUNCH/POSTER PRESENTATIONS | |
1:00-2:45 | S E S S I O N 7 | CHAIR: Wilson Truccolo, Brown University |
1:00-1:25 | Finding essential nodes for integration in the brain using network optimization theory | Hernan Makse City College of New York |
1:25-1:50 | Neural dynamics of the of the formation of spatial maps during fully-mobile human navigation | Scott Makeig University of California, San Diego |
1:50-2:15 | Dynamic network analysis of human seizures for therapeutic intervention | Eric Kolaczyk Boston University |
2:15-2:45 | Funding Q&A [PDF] | Michele Ferrante, NIMH (US) [PDF] Takahisa Taguchi, NICT (Japan) Kenneth Whang, NSF (US) [PDF] |
2:45-3:15 | BREAK | |
3:15-4:55 | S E S S I O N 8 | Theresa Desrochers, Brown University |
3:15-3:40 | Correlated variability in cerebral cortex at criticality during vision | Ralf Wessel Washington University in St Louis |
3:40-4:05 | The generation and subtraction of predictions enhances neural coding and behavioral detection of external stimuli in an electric fish | Nathaniel Sawtell Columbia University |
4:05-4:30 | Using high-order acoustic and neural response statistics to categorize sounds in that mammalian auditory midbrain | Heather Read University of Connecticut |
4:30-4:55 | Maximum entropy models of population codes based on random projections | Elad Schneidman Weizmann Institute of Science |
4:55-6:30 | LEISURE TIME | |
6:30-9:00 | BANQUET 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.
8:15-9:00 | BREAKFAST and REGISTRATION | |
9:00-9:10 | Opening Remarks | |
9:10-9:45 | The problem of dynamic network analysis | Robert Kass Carnegie Mellon University |
9:45-10:20 | Integrating physical and statistical models in neuroscience: some examples | Mark Kramer Boston University |
10:20-10:50 | BREAK | |
10:50-11:25 | Building functional nervous system networks from the bottom up | Henry Abarbanel University of California, San Diego |
11:25-12:00 | Dynamics to coding through biophysics of single neurons | Adrienne Fairhall University of Washington |
12:00-1:00 | LUNCH | |
1:00-1:35 | Neurobiology, brain imaging and information processing | Dimitris Pinotsis Massachusetts Institute of Technology |
1:35-2:10 | Inferring the source of fluctuation in neuronal activity | Shigeru Shinomoto Kyoto University |
2:10-2:40 | BREAK | |
2:40-3:15 | Data-driven geometry learning for parametrically-dependent dynamical systems with application to neuronal dynamics | Ronald Coifman Yale University |
3:15-3:30 | FORMAL DISCUSSION in lecture hall | |
3:30-5:00 | Informal discussion at ICERM |