Synaptic Learning With Augmented Spikes
IEEE Transactions on Neural Networks and Learning Systems(2022)
摘要
Traditional neuron models use analog values for information representation and computation, while all-or-nothing spikes are employed in the spiking ones. With a more brain-like processing paradigm, spiking neurons are more promising for improvements in efficiency and computational capability. They extend the computation of traditional neurons with an additional dimension of time carried by all-or-...
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关键词
Neurons,Task analysis,Computational modeling,Encoding,Feature extraction,Biological system modeling,Biological information theory
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