Durrant, Simon, Kang, Yanmei, Stocks, Nigel G. and Feng, Jianfeng. (2011) Suprathreshold stochastic resonance in neural processing tuned by correlation. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Vol.84 (No.1). Article: 011923. ISSN 1539-3755

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Abstract

Suprathreshold stochastic resonance (SSR) is examined in the context of integrate-and-fire neurons, with an emphasis on the role of correlation in the neuronal firing. We employed a model based on a network of spiking neurons which received synaptic inputs modeled by Poisson processes stimulated by a stepped input signal. The smoothed ensemble firing rate provided an output signal, and the mutual information between this signal and the input was calculated for networks with different noise levels and different numbers of neurons. It was found that an SSR effect was present in this context. We then examined a more biophysically plausible scenario where the noise was not controlled directly, but instead was tuned by the correlation between the inputs. The SSR effect remained present in this scenario with nonzero noise providing improved information transmission, and it was found that negative correlation between the inputs was optimal. Finally, an examination of SSR in the context of this model revealed its connection with more traditional stochastic resonance and showed a trade-off between supratheshold and subthreshold components. We discuss these results in the context of existing empirical evidence concerning correlations in neuronal firing.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics Q Science > QP Physiology T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Science > Engineering Faculty of Science > Centre for Scientific Computing
Library of Congress Subject Headings (LCSH):	Stochastic processes, Neural circuitry, Neural networks (Neurobiology), Neurons -- Research
Journal or Publication Title:	Physical Review E (Statistical, Nonlinear, and Soft Matter Physics)
Publisher:	American Physical Society
ISSN:	1539-3755
Date:	25 July 2011
Volume:	Vol.84
Number:	No.1
Number of Pages:	10
Page Range:	Article: 011923
Identification Number:	10.1103/PhysRevE.84.011923
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	University of Sussex , Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation (China)] (NSFC)
Grant number:	11072182 (NSFC)
URI:	http://wrap.warwick.ac.uk/id/eprint/38593

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