Stochastic resonance with a mixture of sub-and supra-threshold stimuli in a population of neuron models

Minato Kawaguchi; Hiroyuki Mino; Keiko Momose; Dominique M. Durand

doi:10.1109/IEMBS.2011.6091709

Stochastic resonance with a mixture of sub-and supra-threshold stimuli in a population of neuron models

Minato Kawaguchi^*, Hiroyuki Mino, Keiko Momose, Dominique M. Durand

^*Corresponding author for this work

School of Human Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

This paper presents a novel type of stochastic resonance (SR) with a mixture of sub- and supra-threshold stimuli in a population of neuron models beyond regular SR and Supra-threshold SR (SSR) phenomena. We investigate through computer simulations if the novel type of SR can be observed or not, using the mutual information (MI) estimated from a population of neural spike trains as an index of information transmission. Computer simulations showed that the MI had a typical type of SR curves, even when the balance between sub-and supra-threshold stimuli was varied, suggesting the novel type of SR. Moreover, the peak of MI increased as the balance of supra-threshold stimuli got stronger, i.e., as the situation was getting close to the SSR from the regular SR. This finding could accelerate our understanding about how fluctuations play a role in processing information carried by a mixture of sub-and supra-threshold stimuli.

Original language	English
Title of host publication	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages	7328-7331
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2011.6091709
Publication status	Published - 2011 Dec 26
Event	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States Duration: 2011 Aug 30 → 2011 Sept 3

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/Territory	United States
City	Boston, MA
Period	11/8/30 → 11/9/3

Keywords

Action Potential
Fluctuations
Hodgkin-Huxley Model
Homogeneous Poisson Process
Monte Carlo Simulation
Mutual Information
Neural Spike Trains
Numerical Method

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

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10.1109/IEMBS.2011.6091709

Cite this

Kawaguchi, M., Mino, H., Momose, K., & Durand, D. M. (2011). Stochastic resonance with a mixture of sub-and supra-threshold stimuli in a population of neuron models. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 7328-7331). [6091709] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.2011.6091709

Stochastic resonance with a mixture of sub-and supra-threshold stimuli in a population of neuron models. / Kawaguchi, Minato; Mino, Hiroyuki; Momose, Keiko et al.

33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 7328-7331 6091709 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kawaguchi, M, Mino, H, Momose, K & Durand, DM 2011, Stochastic resonance with a mixture of sub-and supra-threshold stimuli in a population of neuron models. in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011., 6091709, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 7328-7331, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 11/8/30. https://doi.org/10.1109/IEMBS.2011.6091709

Kawaguchi M, Mino H, Momose K, Durand DM. Stochastic resonance with a mixture of sub-and supra-threshold stimuli in a population of neuron models. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 7328-7331. 6091709. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/IEMBS.2011.6091709

Kawaguchi, Minato ; Mino, Hiroyuki ; Momose, Keiko et al. / Stochastic resonance with a mixture of sub-and supra-threshold stimuli in a population of neuron models. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. pp. 7328-7331 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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abstract = "This paper presents a novel type of stochastic resonance (SR) with a mixture of sub- and supra-threshold stimuli in a population of neuron models beyond regular SR and Supra-threshold SR (SSR) phenomena. We investigate through computer simulations if the novel type of SR can be observed or not, using the mutual information (MI) estimated from a population of neural spike trains as an index of information transmission. Computer simulations showed that the MI had a typical type of SR curves, even when the balance between sub-and supra-threshold stimuli was varied, suggesting the novel type of SR. Moreover, the peak of MI increased as the balance of supra-threshold stimuli got stronger, i.e., as the situation was getting close to the SSR from the regular SR. This finding could accelerate our understanding about how fluctuations play a role in processing information carried by a mixture of sub-and supra-threshold stimuli.",

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AB - This paper presents a novel type of stochastic resonance (SR) with a mixture of sub- and supra-threshold stimuli in a population of neuron models beyond regular SR and Supra-threshold SR (SSR) phenomena. We investigate through computer simulations if the novel type of SR can be observed or not, using the mutual information (MI) estimated from a population of neural spike trains as an index of information transmission. Computer simulations showed that the MI had a typical type of SR curves, even when the balance between sub-and supra-threshold stimuli was varied, suggesting the novel type of SR. Moreover, the peak of MI increased as the balance of supra-threshold stimuli got stronger, i.e., as the situation was getting close to the SSR from the regular SR. This finding could accelerate our understanding about how fluctuations play a role in processing information carried by a mixture of sub-and supra-threshold stimuli.

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Stochastic resonance with a mixture of sub-and supra-threshold stimuli in a population of neuron models

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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