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20152020
most citedAn Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications

90 citations · 187 across the 6 of their papers we have counts for

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Showing 2016Show all

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cs.NE2016★ 53 cited

Supervised Learning in Spiking Neural Networks for Precise Temporal Encoding

Brian Gardner, André Grüning

Precise spike timing as a means to encode information in neural networks is biologically supported, and is advantageous over frequency-based codes by processing input features on a…