Gerard David Howard
Towards evolving spiking networks with memristive synapses
Howard, Gerard David; Gale, Ella; Bull, Larry; de Lacy Costello, Ben; Adamatzky, Andrew
Authors
Ella Gale
Lawrence Bull Larry.Bull@uwe.ac.uk
School Director (Research & Enterprise) and Professor
Benjamin De Lacy Costello Ben.DeLacyCostello@uwe.ac.uk
Associate Professor in Diagnostics and Bio-Sensing Technology
Andrew Adamatzky Andrew.Adamatzky@uwe.ac.uk
Professor
Abstract
This paper presents a spiking neuro-evolutionary system which implements memristors as neuromodulatory connections, ie whose weights can vary during a trial. The evolutionary design process exploits parameter self-adaptation and a constructionist approach, allowing the number of neurons, connection weights, and inter-neural connectivity pattern to be evolved for each network. We demonstrate that this approach allows the evolution of networks of appropriate complexity to emerge whilst exploiting the ...
Citation
Howard, G. D., Gale, E., Bull, L., de Lacy Costello, B., & Adamatzky, A. (2011, April). Towards evolving spiking networks with memristive synapses. Paper presented at IEEE Symposium on Artificial Life (ALIFE), 2011, Paris, France
Presentation Conference Type | Conference Paper (unpublished) |
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Conference Name | IEEE Symposium on Artificial Life (ALIFE), 2011 |
Conference Location | Paris, France |
Start Date | Apr 11, 2011 |
End Date | Apr 14, 2011 |
Publication Date | Jan 1, 2011 |
Peer Reviewed | Peer Reviewed |
Pages | 14-21 |
Keywords | evolving spiking networks, memristive synapses, Hebbian theory, robot sensing systems, neurons, topology, mathematical model, genetic algorithms |
Public URL | https://uwe-repository.worktribe.com/output/969106 |
Publisher URL | http://www.ieee.org/index.html |
Additional Information | Title of Conference or Conference Proceedings : IEEE Symopium on Artificial Life (ALIFE) 2011 |