Memory, learning and neuromediators.
We consider a model of a neural network where the individual cells interact only by releasing and absorbing the molecules of a neuromediator. We show that such a system can realize the function of associative memory. A learning mechanism based on the chemotaxis is proposed and numerically investigated.
Department of Applied Mathematics and Cybernetics, Moscow State University, USSR.
E M
EM
Izhikevich
A S
AS
Mikhailov
N A
NA
Sveshnikov
D001245:Association Learning / Q000502:physiology; D002633:Chemotaxis / Q000502:physiology; D003198:Computer Simulation; D006801:Humans; D007858:Learning / Q000502:physiology*; D008568:Memory / Q000502:physiology*; D008959:Models, Neurological; D008960:Models, Psychological; D009415:Nerve Net / Q000502:physiology*; D018377:Neurotransmitter Agents / Q000502:physiology*
D018377:Neurotransmitter Agents