Analysis of spatio - temporal patternsin associative networks of spiking neurons

A neural network is presented that stores spatio-temporal patterns (synnre-chains) in associative networks of spiking neurons and replays them at a controlable speed. An implicit equation is derived and solved numerically which relates the average speed to the network parameters. The replay speed can be controled by unspeciic background signals and also depends on the number of co-activated synnre-chains. Balanced inhibition can prevent the latter dependency. Simulation results connrm the theory, but reveal instabilities for low and high control signals. These boundaries are traced back to four diierent destabilizing mechanisms.