most citedTraining Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.NE2021★ 3 cited

Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization

Justus F. Hübotter, Pablo Lanillos, Jakub M. Tomczak

Spiking neural networks are a promising approach towards next-generation models of the brain in computational neuroscience. Moreover, compared to classic artificial neural networks…