Memory, learning and neuromediators
BioSystems (1991) 25:219-230
Izhikevich E.M., Michailov A.S. and Sveshnikov N.A.
Department of Computational Mathematics and
Department of Physics,
Moscow State University.
Abstract. 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.