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Dynamic range in a neuron network with electrical and chemical synapses
Affiliation:1. Departamento de Física, Universidade Federal do Paraná, 81531-990 Curitiba, PR, Brazil;2. Pós-Graduação em Ciências, Universidade Estadual de Ponta Grossa, 84030-900 Ponta Grossa, PR, Brazil;3. Departamento de Matemática e Estatística, Universidade Estadual de Ponta Grossa, 84030-900 Ponta Grossa, PR, Brazil;4. Instituto de Física, Universidade de São Paulo, Caixa Postal 66316, 05315-970 São Paulo, SP, Brazil;1. Department of Mechanical Engineering, Temple University, Philadelphia, PA, USA;2. Space Research Institute, Moscow, Russia;1. School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China;2. College of Computer Science, Chongqing University, Chongqing 400044, China;1. Departamento de Física, Universidade do Estado de Santa Catarina, 89219-710 Joinville, Brazil;2. Departamento de Física, Universidade Federal do Paraná, 81531-980 Curitiba, Brazil;1. Tokyo University of Science, Tokyo, Japan;2. Fujitsu Limited, Tokyo, Japan
Abstract:The dynamic range is the logarithmic difference between maximum and minimum levels of sensation produced by known stimuli. In the human sensory systems the dynamic ranges are typically larger than for single neurons, this amplification being essentially a collective effect of the neural network. We investigated the dynamic range exhibited by a cellular automaton network with electrical and chemical synapses, when the stimuli are modelled by a Poisson process of suprathreshold events of stereotyped unit amplitude and the neuron response is its average firing rate.
Keywords:Dynamic range  Cellular automata  Neural network
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