A Modified Izhikevich Model For Circuit Implementation of Spiking Neural Networks
A Modified Izhikevich Model For Circuit Implementation of Spiking Neural Networks
The Izhikevich neuron model reproduces the spiking and bursting behaviour of certain types of cortical neurons. This model has a second order nonlinearity that makes it difficult to implement in hardware. We propose a simplified version of the model that has a piecewise-linear relationship. This modification simplifies the hardware implementation but demonstrates similar dynamic behaviour.
Ahmadi, Arash
c88cc469-b208-4dad-9541-af5e555e0748
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
26 February 2010
Ahmadi, Arash
c88cc469-b208-4dad-9541-af5e555e0748
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Ahmadi, Arash and Zwolinski, Mark
(2010)
A Modified Izhikevich Model For Circuit Implementation of Spiking Neural Networks.
LASCAS 2010: IEEE Latin American Symposium on Circuit and system, Brasil.
24 - 26 Feb 2010.
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Conference or Workshop Item
(Paper)
Abstract
The Izhikevich neuron model reproduces the spiking and bursting behaviour of certain types of cortical neurons. This model has a second order nonlinearity that makes it difficult to implement in hardware. We propose a simplified version of the model that has a piecewise-linear relationship. This modification simplifies the hardware implementation but demonstrates similar dynamic behaviour.
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Lascas2010_41.pdf
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Published date: 26 February 2010
Additional Information:
Event Dates: 24-26 February 2010
Venue - Dates:
LASCAS 2010: IEEE Latin American Symposium on Circuit and system, Brasil, 2010-02-24 - 2010-02-26
Organisations:
EEE
Identifiers
Local EPrints ID: 268512
URI: http://eprints.soton.ac.uk/id/eprint/268512
PURE UUID: 9a909d2c-26f8-4eea-9715-b7c1ad74846d
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Date deposited: 16 Feb 2010 15:05
Last modified: 15 Mar 2024 02:39
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Contributors
Author:
Arash Ahmadi
Author:
Mark Zwolinski
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