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- W1552029072 abstract "We study a class of neural network associative memories which include noise and transmission delays, code information in the timing of spikes, use long‐range Hebbian couplings plus local, inhibitory couplings, and feature low, biologically realistic neuronal activity. Recall of a pattern consists of a synchronized, periodic firing of neurons. We find a Lyapunov functional for the noiseless network dynamics, and using statistical mechanics and numerical simulation, we find that noisy dynamics improves the network’s ability to discriminate stored from unknown patterns." @default.
- W1552029072 created "2016-06-24" @default.
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- W1552029072 date "1993-01-01" @default.
- W1552029072 modified "2023-09-27" @default.
- W1552029072 title "The effect of noise on a neural network with spiking neurons" @default.
- W1552029072 doi "https://doi.org/10.1063/1.44600" @default.
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