Optimal quantization for energy-efficient information transfer in a population of neuron-like devices

dc.contributor.authorMcDonnell, M.
dc.contributor.authorStocks, N.
dc.contributor.authorPearce, C.
dc.contributor.authorAbbott, D.
dc.contributor.conferenceFluctuations and Noise (2004 : Gran Canaria Island, Spain)
dc.contributor.editorKish, L.
dc.date.issued2004
dc.description© 2004 COPYRIGHT SPIE--The International Society for Optical Engineering
dc.description.abstractSuprathreshold Stochastic Resonance (SSR) is a recently discoveredform of stochastic resonance that occurs in populations of neuron-like devices. A key feature of SSR is that all devices in the population possess identical threshold nonlinearities. It haspreviously been shown that information transmission through such asystem is optimized by nonzero internal noise. It is also clearthat it is desirable for the brain to transfer information in anenergy efficient manner. In this paper we discuss the energy efficient maximization of information transmission for the case ofvariable thresholds and constraints imposed on the energy available to the system, as well as minimization of energy for the case of a fixed information rate. We aim to demonstrate that under certain conditions, the SSR configuration of all devices having identical thresholds is optimal. The novel feature of this work is that optimization is performed by finding the optimal threshold settings for the population of devices, which is equivalent to solving a noisy optimal quantization problem.
dc.description.statementofresponsibilityMark D. McDonnell, Nigel G. Stocks, Charles E. M. Pearce, and Derek Abbott
dc.identifier.citationNoise in complex systems and stochastic dynamics II : 26-28 May, 2004, Maspalomas, Gran Canaria, Spain / Zoltán Gingl (ed.), pp. 222-232
dc.identifier.doi10.1117/12.546934
dc.identifier.isbn0-8194-5393-5
dc.identifier.issn0277-786X
dc.identifier.issn1996-756X
dc.identifier.orcidMcDonnell, M. [0000-0002-7009-3869]
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]
dc.identifier.urihttp://hdl.handle.net/2440/28990
dc.language.isoen
dc.publisherSPIE
dc.publisher.placeCD-ROM
dc.relation.ispartofseriesProceedings of SPIE--the International Society for Optical Engineering ; 5471.
dc.source.urihttp://dx.doi.org/10.1117/12.546934
dc.titleOptimal quantization for energy-efficient information transfer in a population of neuron-like devices
dc.typeConference paper
pubs.publication-statusPublished

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