title: Double inverse stochastic resonance with dynamic synapses.
abstract: We investigate the behavior of a model neuron that receives a biophysically realistic noisy postsynaptic current based on uncorrelated spiking activity from a large number of afferents. We show that, with static synapses, such noise can give rise to inverse stochastic resonance (ISR) as a function of the presynaptic firing rate. We compare this to the case with dynamic synapses that feature short-term synaptic plasticity and show that the interval of presynaptic firing rate over which ISR exists can be extended or diminished. We consider both short-term depression and facilitation. Interestingly, we find that a double inverse stochastic resonance (DISR), with two distinct wells centered at different presynaptic firing rates, can appear.
authors.affiliation: Department of Biomedical Engineering, Bulent Ecevit University, 67100 Zonguldak, Turkey.
authors.forename: Muhammet
authors.initials: M
authors.lastname: Uzuntarla
authors.affiliation: Department of Electromagnetism and Physics of the Matter and Institute Carlos I for Theoretical and Computational Physics, University of Granada, E-18071 Granada, Spain.
authors.forename: Joaquin J
authors.initials: JJ
authors.lastname: Torres
authors.affiliation: Department of Physics and Astronomy and the Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia 22030, USA.
authors.forename: Paul
authors.initials: P
authors.lastname: So
authors.affiliation: Department of Electrical and Electronics Engineering, Bulent Ecevit University, 67100 Zonguldak, Turkey.
authors.forename: Mahmut
authors.initials: M
authors.lastname: Ozer
authors.affiliation: Department of Physics and Astronomy and the Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia 22030, USA.
authors.forename: Ernest
authors.initials: E
authors.lastname: Barreto
mesh_terms: D000200:Action Potentials; D000818:Animals; D008959:Models, Neurological; D009473:Neuronal Plasticity / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D013269:Stochastic Processes; D013569:Synapses / Q000502:physiology*