Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays

Sheik S, Chicca E, Indiveri G (2012)
Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Autor*in
Sheik, S.; Chicca, ElisabettaUniBi ; Indiveri, G.
Abstract / Bemerkung
Axonal delays are used in neural computation to implement faithful models of biological neural systems, and in spiking neural networks models to solve computationally demanding tasks. While there is an increasing number of software simulations of spiking neural networks that make use of axonal delays, only a small fraction of currently existing hardware neuromorphic systems supports them. In this paper we demonstrate a strategy to implement temporal delays in hardware spiking neural networks distributed across multiple Very Large Scale Integration (VLSI) chips. This is achieved by exploiting the inherent device mismatch present in the analog circuits that implement silicon neurons and synapses inside the chips, and the digital communication infrastructure used to configure the network topology and transmit the spikes across chips. We present an example of a recurrent VLSI spiking neural network that employs axonal delays and demonstrate how the proposed strategy efficiently implements them in hardware.
Erscheinungsjahr
2012
Seite(n)
1940-1945
Konferenz
International Joint Conference on Neural Networks (IJCNN)
Konferenzort
Brisbane, Australia
Konferenzdatum
2012-06-10 – 2012-06-15
ISSN
2161-4393
Page URI
https://pub.uni-bielefeld.de/record/2473495

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Sheik S, Chicca E, Indiveri G. Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.
Sheik, S., Chicca, E., & Indiveri, G. (2012). Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia. doi:10.1109/ijcnn.2012.6252636
Sheik, S., Chicca, E., and Indiveri, G. (2012).“Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays”. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.
Sheik, S., Chicca, E., & Indiveri, G., 2012. Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.
S. Sheik, E. Chicca, and G. Indiveri, “Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays”, Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, 2012.
Sheik, S., Chicca, E., Indiveri, G.: Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia (2012).
Sheik, S., Chicca, Elisabetta, and Indiveri, G. “Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays”. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, 2012.
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Dieses Objekt ist durch das Urheberrecht und/oder verwandte Schutzrechte geschützt. [...]
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OA Open Access
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2019-09-06T09:18:00Z
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4131acec87fabe9bcb77cb191b2e2271

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