Associative Memory with Networks of Spiking Neurons in Temporal Coding

W. Maass and T. Natschlaeger

Abstract:

A theoretical model for analog computation with temporal coding is introduced and tested through simulations in GENESIS. It turns out that the use of multiple synapses yields very noise robust mechanisms for analog computations with temporal coding in networks of detailed compartmental neuron models. One arrives in this way at a method for emulating arbitrary Hopfield nets with spiking neurons in temporal coding, yielding new models for associative recall of spatio-temporal firing patterns.



Reference: W. Maass and T. Natschlaeger. Associative memory with networks of spiking neurons in temporal coding. In L. S. Smith and A. Hamilton, editors, Neuromorphic Systems: Engineering Silicon from Neurobiology, pages 21-32. World Scientific, 1998.