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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3165527
Abstract: Emulating the spike-based processing in the brain, spiking neural networks (SNNs) are developed and act as a promising candidate for the new generation of artificial neural networks that aim to produce efficient cognitions as the…
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Keywords:
neural networks;
improving multispike;
multispike;
synaptic delays ... See more keywords
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Published in 2020 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1008261
Abstract: An important problem in computational neuroscience is to understand how networks of spiking neurons can carry out various computations underlying behavior. Balanced spiking networks (BSNs) provide a powerful framework for implementing arbitrary linear dynamical systems…
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Keywords:
synaptic delays;
spiking networks;
realistic synaptic;
balanced spiking ... See more keywords