High accuracy implementation of Adaptive Exponential integrated and fire neuron model
High accuracy implementation of Adaptive Exponential integrated and fire neuron model
It is expensive to simulate large-scale neural networks on hardware while ensuring a high resemblance to the original neurons' behavior. This paper introduces a novel technique to facilitate digital implementation and computer simulation of neuron models that contain an exponential term. This technique is applied to a biologically realistic neuron model called Adaptive Exponential integrated and fire (AdEx). Hardware synthesis and physical implementations show that the resulting model can reproduce precise neural behavior with high performance and considerably lower implementation costs compared with the original AdEx model.
Adaptive Exponential integrated and fire model (AdEx), FPGA, High accuracy, Neuromorphic, Pipelining
192-197
Makhlooghpour, Aliasghar
892fa86d-ca99-4b31-ae24-69e90da15011
Soleimani, Hamid
1706a3d7-0dc4-40a3-8404-951c1fc06fb5
Ahmadi, Arash
c88cc469-b208-4dad-9541-af5e555e0748
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Saif, Mehrdad
1c8fd76e-40e8-4304-aff6-ba66487632ee
3 November 2016
Makhlooghpour, Aliasghar
892fa86d-ca99-4b31-ae24-69e90da15011
Soleimani, Hamid
1706a3d7-0dc4-40a3-8404-951c1fc06fb5
Ahmadi, Arash
c88cc469-b208-4dad-9541-af5e555e0748
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Saif, Mehrdad
1c8fd76e-40e8-4304-aff6-ba66487632ee
Makhlooghpour, Aliasghar, Soleimani, Hamid, Ahmadi, Arash, Zwolinski, Mark and Saif, Mehrdad
(2016)
High accuracy implementation of Adaptive Exponential integrated and fire neuron model.
In 2016 International Joint Conference on Neural Networks, IJCNN 2016.
vol. 2016-October,
IEEE.
.
(doi:10.1109/IJCNN.2016.7727198).
Record type:
Conference or Workshop Item
(Paper)
Abstract
It is expensive to simulate large-scale neural networks on hardware while ensuring a high resemblance to the original neurons' behavior. This paper introduces a novel technique to facilitate digital implementation and computer simulation of neuron models that contain an exponential term. This technique is applied to a biologically realistic neuron model called Adaptive Exponential integrated and fire (AdEx). Hardware synthesis and physical implementations show that the resulting model can reproduce precise neural behavior with high performance and considerably lower implementation costs compared with the original AdEx model.
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Published date: 3 November 2016
Additional Information:
Publisher Copyright:
© 2016 IEEE.
Venue - Dates:
2016 International Joint Conference on Neural Networks, IJCNN 2016, , Vancouver, Canada, 2016-07-24 - 2016-07-29
Keywords:
Adaptive Exponential integrated and fire model (AdEx), FPGA, High accuracy, Neuromorphic, Pipelining
Identifiers
Local EPrints ID: 473046
URI: http://eprints.soton.ac.uk/id/eprint/473046
PURE UUID: 634303cb-1148-45b2-a094-e3037295335b
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Date deposited: 09 Jan 2023 18:25
Last modified: 17 Mar 2024 02:35
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Contributors
Author:
Aliasghar Makhlooghpour
Author:
Hamid Soleimani
Author:
Arash Ahmadi
Author:
Mark Zwolinski
Author:
Mehrdad Saif
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