Influence of stimuli on the comportment of an artificial neural population

The dynamic behavior (comportment) of an artificial neural network depends not only on the synaptic weights, but also on the stimuli input. Without stimuli, the network stable state is permanent or oscillatory. The external stimuli input modifies the neural state, changing it from one stable permanent state to another or from an oscillatory to a permanent state, or changing the frequency of oscillation. The different responsive evolutions of the network were analyzed using a dynamic representation described by nonlinear differential equations. Computer simulation results are presented