title: Stochastic resonance with a mixture of sub-and supra-threshold stimuli in a population of neuron models.
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.
authors.affiliation: Institute of Science and Technology, Kanto Gakuin University, 1-50-1 Mutsuura E, Kanazawa-ku, Yokohama 236-8501, Japan. gutch be@me.com
authors.forename: Minato
authors.initials: M
authors.lastname: Kawaguchi
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Mino
authors.forename: Keiko
authors.initials: K
authors.lastname: Momose
authors.forename: Dominique M
authors.initials: DM
authors.lastname: Durand
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D008564:Membrane Potentials; D008959:Models, Neurological; D009010:Monte Carlo Method; D009474:Neurons / Q000502:physiology*; D016012:Poisson Distribution; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D013269:Stochastic Processes; D009435:Synaptic Transmission / Q000502:physiology; D013997:Time Factors