A non-linear model for the synaptic basis of neuronal memory

Abstract

We propose a mathematical model for the synaptic basis of neuronal memory. The model incorporates non-linear effects in analogy with population growth problems of human beings, animals, biological species, crystal growth, etc., and provides a mechanism whereby the excitatory and inhibitory inputs produce alterations in a neurone which result in a long-lasting increase in transmitter release at a synapse.