Networks of Spiking Neurons can Emulate Arbitrary Hopfield nets in
W. Maass and T. Natschlaeger
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. A corresponding layered
architecture yields a refinement of the synfire-chain model that can assume a
fairly large set of different firing patterns for different inputs.
Reference: W. Maass and T. Natschlaeger.
Networks of spiking neurons can emulate arbitrary Hopfield nets in temporal
Network: Computation in Neural Systems, 8(4):355-371, 1997.