Columbia Workshop on Brain Circuits, Memory and Computation (BCMC 2015)
Monday, March 16, 2015 at 9:00 AM - Tuesday, March 17, 2015 at 5:00 PM (EDT)
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 computational sensory and control models.
Organizer and Program Chair
Aurel A. Lazar, Department of Electrical Engineering, Columbia University.
Confirmed Invited Speakers
- Yoshi Aso, Janelia Research Campus, Ashburn, VA.
- Dmitri "Mitya" B. Chklovskii, Simons Center for Data Analysis, Simons Foundation.
- Damon A. Clark, Department of Molecular, Cellular, and Developmental Biology, Yale University.
- Daniel Coca, Department of Automatic Control and Systems Engineering, University of Sheffield.
- Fabrizio Gabbiani, Dept. of Neuroscience, Baylor College of Medicine, and Computational and Applied Mathematics, Rice University.
- Charles Randy Gallistel, Rutgers Center for Cognitive Science, Rutgers University.
- Charles D. Gilbert, Laboratory of Neurobiology, Rockefeller University.
- Vivek Jayaraman, Janelia Research Campus, Ashburn, VA.
- Mikko I. Juusola, Department of Biomedical Science, University of Sheffield.
- Anthony Leonardo, Janelia Research Campus, Ashburn, VA.
- Wolfgang Maas, Institute for Theoretical Computer Science, Graz University of Technology, Graz, Austria.
- Gary F. Marcus, Department of Psychology, New York University.
- Stefan Mihalas, Allen Institute for Brain Science, Seattle, WA.
- Barbara Webb, School of Informatics, University of Edinburgh.
For schedule, click here
When & Where
Center for Neural Engineering and Computation, Columbia University
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.