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Columbia Workshop on Brain Circuits, Memory and Computation 2020 (BCMC 2020)
Date and time
Location
Description
Update
Due to the COVID-19 emergency, the Columbia Workshop on Brain Circuits, Memory and Computation will be hosted as a virtual workshop. Please find the details of the virtual workshop here.
Overview
The goal of the workshop is to bring together researchers interested in developing executable models of neural computation/processing of the brain of model organisms. Of interest are models of computation that consist of elementary units of processing using brain circuits and memory elements. Elementary units of computation/processing include population encoding/decoding circuits with biophysically-grounded neuron models, non-linear dendritic processors for motion detection/direction selectivity, spike processing and pattern recognition neural circuits, movement control and decision-making circuits, etc. Memory units include models of spatio-temporal memory circuits, circuit models for memory access and storage, etc. A major aim of the workshop is to explore the integration of various sensory and control circuits in higher brain centers.
A Fruit Fly Brain Hackathon is being conducted in conjunction with the workshop. Workshop participants are welcome to attend the hackathon.
Organizer and Program Chair
Aurel A. Lazar, Department of Electrical Engineering, Columbia University.
Lodging and Directions to Venue
Please follow this link for lodging details and directions to the hotel and venue.
Program Overview (Confirmed Speakers)
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Rudy Behnia, Department of Neuroscience, Columbia University, New York
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Sophie Caron, Department of Biology, University of Utah, Salt Lake City, UT.
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Dmitri ‘Mitya’ Chklovskii, Flatiron Institute, Simons Foundation.
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Monica Dus, Dept. of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI.
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Daniel Gardner, Department of Physiology and Biophysics, Weill Cornell Medicine.
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Nathan Gouwens, Allen Institute of Brain Science, Seattle, WA.
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Leslie C. Griffith, Volen National Center for Complex Systems, Brandeis University.
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Ilona Grunwald Kadow, School of Life Sciences, Technical University of Munich.
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Viren Jain, Google AI, Mountain View, CA.
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Mikko Juusola, Centre for Cognition in Small Brains, The University of Sheffield.
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Gaby Maimon, Laboratory of Integrative Brain Function, The Rockefeller University.
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Stephen Plaza, Janelia Research Campus, Ashburn, VA.
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H. Sebastian Seung, Princeton Neuroscience Institute and Computer Science Department, Princeton University.
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Charles F. Stevens, Salk Institute, La Jolla, CA.
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Saskia E.J. de Vries, Allen Institute for Brain Science, Seattle, WA.
Detailed schedule, will be posted here
Organized by
The overall mission of Columbia University’s Center for Neural Engineering and Computation (CNEC, pronounced “scenic”) is to 1) cross-link multiple laboratories in the School of Engineering and Applied Sciences (SEAS) that are developing new types of engineering and computing tools for studying the nervous system, 2) provide an interface and representative organization for SEAS efforts in neuro-engineering/computing to the rest of Columbia University and other institutions, and 3) provide an organized structure for developing a comprehensive academic curriculum for computational neuroscience education at both the graduate and undergraduate level.
The Center’s research focus is on the development of engineering and computation-driven neurotechnologies and their role as enablers for studying neural systems, most notably the normal and diseased brain. The Center will facilitate efforts focusing on engineering and computation-driven neurotechnology development which impact the specific research endeavors of all members of the center as well as the grand challenge questions confronted by the entire neuroscience community.