TY - GEN
T1 - Stochastic resonance with a mixture of sub-and supra-threshold stimuli in a population of neuron models
AU - Kawaguchi, Minato
AU - Mino, Hiroyuki
AU - Momose, Keiko
AU - Durand, Dominique M.
PY - 2011/12/26
Y1 - 2011/12/26
N2 - 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.
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.
KW - Action Potential
KW - Fluctuations
KW - Hodgkin-Huxley Model
KW - Homogeneous Poisson Process
KW - Monte Carlo Simulation
KW - Mutual Information
KW - Neural Spike Trains
KW - Numerical Method
UR - http://www.scopus.com/inward/record.url?scp=84864613584&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84864613584&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2011.6091709
DO - 10.1109/IEMBS.2011.6091709
M3 - Conference contribution
C2 - 22256031
AN - SCOPUS:84864613584
SN - 9781424441211
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 7328
EP - 7331
BT - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
T2 - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Y2 - 30 August 2011 through 3 September 2011
ER -