A network of physiological neurons with differentiated excitatory and inhibitory units possessing pattern recognition capacity

The incorporation of properties derived from the function of physiological neurons to artificial networks is actively sought in order to enrich the range of dynamic behavior of the networks. In the present work a novel neural network is proposed with different excitatory and inhibitory neural populations. This property conforms with the so-called Dale´s hypothesis that applies to neurons of the mammalian brain. The network improves the quality of the associative memory abilities which are shown to exist in an earlier model, where the synaptic activity derived from a neuron could be of both types