Columbia Workshop on Brain Circuits, Memory and Computation 2019 (BCMC 2019...
Event Information
Description
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.
Sponsorship
The 2019 Columbia Workshop on Brain Circuits, Memory and Computation is supported by the
- Department of Electrical Engineering, Columbia University
- Center for Computing Systems for Data-Driven Science, Data Science Institute, Columbia University
- School of Engineering and Applied Science, Columbia University
Program Overview (Confirmed Speakers)
Anton Arkhipov, Allen Institute of Brain Science.
Richard Benton, Center for Integrative Genomics, University of Lausanne.
Benjamin L. de Bivort, Department of Organismic and Evolutionary Biology, Harvard University.
Kristin Branson, Janelia Research Campus, Ashburn, VA.
Gwyneth Card, Janelia Research Campus, Ashburn, VA.
Kevin M. Franks, Department of Neurobiology, Duke University.
Paul A. Garrity, Department of Biology, Brandeis University.
Stephen F. Goodwin, Department of Physiology, Anatomy and Genetics, University of Oxford.
Tim Jarsky, Allen Institute of Brain Science.
Karla Kaun, Department of Neuroscience, Brown University.
Gero A. Miesenboeck, Centre for Neural Circuits and Behaviour, University of Oxford.
Venkatesh N. Murthy, Department of Molecular and Cellular Biology, Harvard University.
Stephan Saalfeld, Janelia Research Campus, Ashburn, VA.
Louis Scheffer, Janelia Research Campus, Ashburn, VA.
Srinivas C. Turaga, Janelia Research Campus, Ashburn, VA.
Detailed schedule, will be posted here
Organizer Center for Neural Engineering and Computation, Columbia University
Organizer of Columbia Workshop on Brain Circuits, Memory and Computation 2019 (BCMC 2019)
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.