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Working Memory with Polychronous Chains
Working memory --- the ability to store and recall precise temporal patterns of activity --- remains an open challenge for spiking neural networks (SNNs). A recurrent SNN of $N=1024$ neurons is proposed, in which each synapse is equipped with $D = 41$ heterogeneous delays, parameterised as a weight
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