Hebb Synapses: Modeling of Neuronal Selectivity

Abstract

Hebb synapses are modifiable synaptic connections that increase their efficacy when the presynaptic and postsynaptic neurons are coactive. Such a learning rule has appealing computational properties but is not stable. Several modifications have been proposed to stabilize this rule. There is mounting experimental evidence that modifiable synapses exist in brain and form the basis for learning, memory and some aspects of development.