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Evaluating the generalisation capability of a CMOS based synapse

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Ghani, Arfan, McDaid, Liam, Belatreche, Ammar, Hall, Stephen, Huang, Shou, Marsland, John, Dowrick, Thomas and Smith, Andy (2012) Evaluating the generalisation capability of a CMOS based synapse. Neurocomputing, 83 . pp. 188-197. [Journal article]

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DOI: 10.1016/j.neucom.2011.12.010

Abstract

The focus of this work is to investigate the generalisation capability of compact, solid-state synapses recently proposed by the authors. The synapses can be configured to yield a static or dynamic response. Empirical models of the Post Synaptic Response (PSP), derived from hardware simulations, are developed and embedded into the neural network toolbox in MATLAB. A network of these synapses was then used to solve benchmark problems using a well-established training algorithm where the performance metric was convergence time, accuracy and weight range; the Spike Response Model (SRM) was used to implement point neurons. Results are presented and compared with standard synaptic responses.Keywords:CMOS synapses; Spiking neural networks; CMOS implementation of spiking neurons

Item Type:Journal article
Keywords:CMOS synapses; Spiking neural networks; CMOS implementation of spiking neurons
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:21097
Deposited By:Dr Ammar Belatreche
Deposited On:17 Feb 2012 15:31
Last Modified:17 Feb 2012 15:31

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