Behavioral simulation and synthesis of biological neuron systems using synthesizable VHDL
Behavioral simulation and synthesis of biological neuron systems using synthesizable VHDL
Neurons are complex biological entities which form the basis of nervous systems. Insight can be gained into neuron behavior through the use of computer models and as a result many such models have been developed. However, there exists a trade-off between biological accuracy and simulation time with the most realistic results requiring extensive computation. To address this issue, a novel approach is described in this paper that allows complex models of real biological systems to be simulated at a speed greater than real time and with excellent accuracy. The approach is based on a specially developed neuron model VHDL library which allows complex neuron systems to be implemented on field programmable gate array (FPGA) hardware. The locomotion system of the nematode Caenorhabditis elegans is used as a case study and the measured results show that the real time FPGA based implementation performs 288 times faster than traditional ModelSim simulations for the same accuracy.
vhdl, neuron, network, hardware, simulation
2392- 2406
Bailey, J.A.
7b855f30-6803-47cd-bc2e-920aaa96c1d4
Wilcock, R.
039894e9-f32d-49e0-9ebd-fb13bc489feb
Wilson, P.R.
8a65c092-c197-4f43-b8fc-e12977783cb3
Chad, J.E.
d220e55e-3c13-4d1d-ae9a-1cfae8ccfbe1
July 2011
Bailey, J.A.
7b855f30-6803-47cd-bc2e-920aaa96c1d4
Wilcock, R.
039894e9-f32d-49e0-9ebd-fb13bc489feb
Wilson, P.R.
8a65c092-c197-4f43-b8fc-e12977783cb3
Chad, J.E.
d220e55e-3c13-4d1d-ae9a-1cfae8ccfbe1
Bailey, J.A., Wilcock, R., Wilson, P.R. and Chad, J.E.
(2011)
Behavioral simulation and synthesis of biological neuron systems using synthesizable VHDL.
Neurocomputing, 74 (14-15), .
(doi:10.1016/j.neucom.2011.04.001).
Abstract
Neurons are complex biological entities which form the basis of nervous systems. Insight can be gained into neuron behavior through the use of computer models and as a result many such models have been developed. However, there exists a trade-off between biological accuracy and simulation time with the most realistic results requiring extensive computation. To address this issue, a novel approach is described in this paper that allows complex models of real biological systems to be simulated at a speed greater than real time and with excellent accuracy. The approach is based on a specially developed neuron model VHDL library which allows complex neuron systems to be implemented on field programmable gate array (FPGA) hardware. The locomotion system of the nematode Caenorhabditis elegans is used as a case study and the measured results show that the real time FPGA based implementation performs 288 times faster than traditional ModelSim simulations for the same accuracy.
Text
Paper-2010-11-01v4.pdf
- Author's Original
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e-pub ahead of print date: 17 April 2011
Published date: July 2011
Keywords:
vhdl, neuron, network, hardware, simulation
Organisations:
EEE, Centre for Biological Sciences
Identifiers
Local EPrints ID: 272285
URI: http://eprints.soton.ac.uk/id/eprint/272285
ISSN: 0925-2312
PURE UUID: bbcca083-af48-4044-bcdd-290caa9da14b
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Date deposited: 16 May 2011 13:03
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
J.A. Bailey
Author:
R. Wilcock
Author:
P.R. Wilson
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