A network with pulse processing neurons for generation of arbitrary temporal sequences

The authors present a network structure consisting of two parts with different topologies, the time-pattern generator (TPG) and the activity memory (AM). It is designed to generate an arbitrary temporal sequence as necessary for controlling actuators with artificial neural nets. The TPG represents the flow of time as the spatial location of a traveling activity peak (AP) initiated at the TPG input neurons by higher neural centers. The AM network modulates the output activity according to the transfer function of the AM neurons and the time-dependent sum of TPG outputs weighted with the synaptic strength of the connections between the TPG and the AM. The synaptic weights of the AM carry the information necessary for the generation of temporally varying amplitudes. As an example for the suggested network topology, the authors present a straightforward realization