Exploring napping paradigm for Recurrent Spiking Neural Networks
This paper investigates the hypothesis that a biologically inspired micro-sleep paradigm, napping -- combining proportional weight scaling with continuous stochastic membrane activity -- can replicate the stability of normalization while shedding model complexity.
A. Massey, Stefano Nichele, Aliaksandr Hubin
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