Rate coding: neurobiological network performing detection of the difference between mean spiking rates
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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 integrated 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.
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J. Pavlasek, Department of Neurophysiology, Institute of Normal and Pathological Physiology, Slovak Academy of Sciences, 1 Sienkiewicz St., 81371 Bratislava 1, Slovakia