The effect of synaptic time constants on firing patterns in populations of spiking neurons

Proceedings of the International Conference on Artificial Neural Networks (Springer Verlag, Berlin) pp. 666-669. (1993)

We examine the conditions under which a population of spiking neurons can fire asynchronously. Synapses with time constants larger that computed limits assure the stability of the asynchronous firing state even in the absence of inhibition. For smaller time constants the population starts to synchronize. Though the population then fires periodically, the individual neurons are quasiperiodic.

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