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Networks of Spiking Neurons Can Emulate Arbitrary Hopfield Nets
in Temporal Coding

Wolfgang Maass and Thomas Natschlaeger

Institute for Theoretical Computer Science
Technische Universitaet Graz

A theoretical model for analog computation in networks of spiking neurons 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 via the timing of single spikes 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.

A corresponding layered architecture yields a refinement of the synfire-chain model that can assume a fairly large set of different stable firing patterns for different inputs.

Tony Zador
Wed Mar 12 22:07:02 PST 1997