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A Reconfigurable and Biologically InspiredParadigm for Computation Using Network-On-Chip andSpiking Neural Networks

Harkin, Jim, Morgan, Fearghal, McDaid, Liam, Hall, Steve, McGinley, Brian and Cawley, Seamus (2009) A Reconfigurable and Biologically InspiredParadigm for Computation Using Network-On-Chip andSpiking Neural Networks. Hindawi Publishing Corporation, 13 pp, DOI: 10.1155/2009/908740 [Internet publication]

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URL: http://www.hindawi.com/journals/ijrc/

DOI: 10.1155/2009/908740

Abstract

FPGA devices have emerged as a popular platform for the rapid prototyping of biological Spiking Neural Networks (SNNs)applications, offering the key requirement of reconfigurability. However, FPGAs do not efficiently realise the biologically plausibleneuron and synaptic models of SNNs, and current FPGA routing structures cannot accommodate the high levels of interneuronconnectivity inherent in complex SNNs. This paper highlights and discusses the current challenges of implementing scalableSNNs on reconfigurable FPGAs. The paper proposes a novel field programmable neural network architecture (EMBRACE),incorporating low-power analogue spiking neurons, interconnected using a Network-on-Chip architecture. Results on theevaluation of the EMBRACE architecture using the XOR benchmark problem are presented, and the performance of thearchitecture is discussed. The paper also discusses the adaptability of the EMBRACE architecture in supporting fault tolerantcomputing.

Item Type:Internet publication
Faculties and Schools:Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:155
Deposited By: Dr Jim Harkin
Deposited On:30 Jul 2009 08:17
Last Modified:09 May 2016 10:44

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