21 citations · 41 across the 6 of their papers we have counts for
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cs.NE2023★ 6 cited
Accelerating SNN Training with Stochastic Parallelizable Spiking Neurons
Sidi Yaya Arnaud Yarga, Sean U. N. Wood
Spiking neural networks (SNN) are able to learn spatiotemporal features while using less energy, especially on neuromorphic hardware. The most widely used spiking neuron in deep le…
cs.AR2023★ 1 cited
Hardware-aware Training Techniques for Improving Robustness of Ex-Situ Neural Network Transfer onto Passive TiO2 ReRAM Crossbars
Philippe Drolet, Raphaël Dawant, Victor Yon +9
Passive resistive random access memory (ReRAM) crossbar arrays, a promising emerging technology used for analog matrix-vector multiplications, are far superior to their active (1T1…