research-article

Neuromorphic modeling abstractions and simulation of large-scale cortical networks

Authors:

Jeffrey L. Krichmar,

Jayram M. Nageswaran,

Micah RichertAuthors Info & Claims

ICCAD '11: Proceedings of the International Conference on Computer-Aided Design

Pages 334 - 338

Published: 07 November 2011 Publication History

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.

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Cited By

Wang YXu MRen LZhang XWu DHe YXu NYang HPhillips JHu AGraeb H(2011)A heterogeneous accelerator platform for multi-subject voxel-based brain network analysisProceedings of the International Conference on Computer-Aided Design10.5555/2132325.2132413(339-344)Online publication date: 7-Nov-2011
https://dl.acm.org/doi/10.5555/2132325.2132413

Neuromorphic modeling abstractions and simulation of large-scale cortical networks

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Neuromorphic modeling abstractions and simulation of large-scale cortical networks
ICCAD '11: Proceedings of the 2011 IEEE/ACM International Conference on Computer-Aided Design

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 ...

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Published In

cover image ACM Conferences

ICCAD '11: Proceedings of the International Conference on Computer-Aided Design

November 2011

844 pages

ISBN:9781457713989

General Chair:
Joel Phillips
Cadence Research Labs, Berkeley, CA
,
Program Chairs:
Alan J. Hu
Univ. of British Columbia, Vancouver, BC, Canada
,
Helmut Graeb
Technische Universitaet, Munich, Germany

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SIGDA: ACM Special Interest Group on Design Automation
IEEE-CEDA

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IEEE Press

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Published: 07 November 2011

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ICCAD '11

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ICCAD '11: The International Conference on Computer-Aided Design

November 7 - 10, 2011

California, San Jose

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Cited By

Wang YXu MRen LZhang XWu DHe YXu NYang HPhillips JHu AGraeb H(2011)A heterogeneous accelerator platform for multi-subject voxel-based brain network analysisProceedings of the International Conference on Computer-Aided Design10.5555/2132325.2132413(339-344)Online publication date: 7-Nov-2011
https://dl.acm.org/doi/10.5555/2132325.2132413

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