Neuromorphic modeling abstractions and simulation of large-scale cortical networks

Authors:
Jeffrey L. Krichmar;Nikil Dutt;Jayram M. Nageswaran;Micah Richert
Affiliations:
University of California, Irvine, Irvine, CA;University of California, Irvine, Irvine, CA;Brain Corporation, San Diego, CA;Brain Corporation, San Diego, CA
Venue:
Proceedings of the International Conference on Computer-Aided Design
Year:
2011

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Abstract

Biological neural systems are well known for their robust and power-efficient operation in highly noisy environments. We outline key modeling abstractions for the brain and focus on spiking neural network models. We discuss aspects of neuronal processing and computational issues related to modeling these processes. Although many of these algorithms can be efficiently realized in specialized hardware, we present a case study of simulation of the visual cortex using a GPU based simulation environment that is readily usable by neuroscientists and computer scientists and efficient enough to construct very large networks comparable to brain networks.