title: Rate coding: neurobiological network performing detection of the difference between mean spiking rates.
abstract: We propose a network of model neurones that "reads" the information encoded as a mean spiking rate by mechanisms relevant to the organism. The streams of independent irregular spiking activity with a Poisson distribution enters the network in parallel via two inputs. The network integrates both synaptic inputs and at the same time acts as a counter allowing their continuous comparison. Detection of the mean spiking rate difference is signalled by spikes emitted at the output. The exactness of the mean-rate discrimination was quantified by the probability of theoretically best comparison.
authors.affiliation: Department of Neurophysiology, Institute of Normal and Pathological Physiology, Slovak Academy of Sciences, 1 Sienkiewicz St., 81371 Bratislava 1, Slovakia. unpfpavl@savba.sk.
authors.forename: Juraj
authors.initials: J
authors.lastname: Pavlásek
authors.forename: Ján
authors.initials: J
authors.lastname: Jenca
authors.forename: Radoslav
authors.initials: R
authors.lastname: Harman
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D019706:Excitatory Postsynaptic Potentials / Q000502:physiology; D006801:Humans; D008959:Models, Neurological; D009434:Neural Pathways / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D013569:Synapses / Q000502:physiology