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We propose a computational model of neuron, called firing cell (FC),properties of which cover such phenomena as attenuation of receptors forexternal stimuli, delay and decay of postsynaptic potentials, modification ofinternal weights due to propagation of postsynaptic potentials through thedendrite, modification of properties of the analog memory for each input due toa pattern of short-time synaptic potentiation or long-time synapticpotentiation (LTP), output-spike generation when the sum of all inputs exceedsa threshold, and refraction. The cell may take one of the three forms:excitatory, inhibitory, and receptory. The computer simulations showed that,depending on the phase of input signals, the artificial neuron's outputfrequency may demonstrate various chaotic behaviors.

Firing Cell: An Artificial Neuron with a Simulation of Long-Term-Potentiation-Related Memory