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A Reconfigurable and Biologically Inspired Paradigm for Computation Using Network-On-Chip and Spiking Neural Networks
Joint Authors
Harkin, Jim
McGinley, Brian
Cawley, Seamus
McDaid, Liam
Morgan, Fearghal
Hall, Steve
Source
International Journal of Reconfigurable Computing
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-06-25
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
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 plausible neuron and synaptic models of SNNs, and current FPGA routing structures cannot accommodate the high levels of interneuron connectivity inherent in complex SNNs.
This paper highlights and discusses the current challenges of implementing scalable SNNs 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 the evaluation of the EMBRACE architecture using the XOR benchmark problem are presented, and the performance of the architecture is discussed.
The paper also discusses the adaptability of the EMBRACE architecture in supporting fault tolerant computing.
American Psychological Association (APA)
Harkin, Jim& Morgan, Fearghal& McDaid, Liam& Hall, Steve& McGinley, Brian& Cawley, Seamus. 2009. A Reconfigurable and Biologically Inspired Paradigm for Computation Using Network-On-Chip and Spiking Neural Networks. International Journal of Reconfigurable Computing،Vol. 2009, no. 2009, pp.1-13.
https://search.emarefa.net/detail/BIM-507262
Modern Language Association (MLA)
Harkin, Jim…[et al.]. A Reconfigurable and Biologically Inspired Paradigm for Computation Using Network-On-Chip and Spiking Neural Networks. International Journal of Reconfigurable Computing No. 2009 (2009), pp.1-13.
https://search.emarefa.net/detail/BIM-507262
American Medical Association (AMA)
Harkin, Jim& Morgan, Fearghal& McDaid, Liam& Hall, Steve& McGinley, Brian& Cawley, Seamus. A Reconfigurable and Biologically Inspired Paradigm for Computation Using Network-On-Chip and Spiking Neural Networks. International Journal of Reconfigurable Computing. 2009. Vol. 2009, no. 2009, pp.1-13.
https://search.emarefa.net/detail/BIM-507262
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507262