21 citations · 49 across the 4 of their papers we have counts for
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cs.NE2023
Expanding memory in recurrent spiking networks
Ismael Balafrej, Fabien Alibart, Jean Rouat
Recurrent spiking neural networks (RSNNs) are notoriously difficult to train because of the vanishing gradient problem that is enhanced by the binary nature of the spikes. In this…
cs.NE2022★ 21 cited
Voltage-Dependent Synaptic Plasticity (VDSP): Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential
Nikhil Garg, Ismael Balafrej, Terrence C. Stewart +7
This study proposes voltage-dependent-synaptic plasticity (VDSP), a novel brain-inspired unsupervised local learning rule for the online implementation of Hebb's plasticity mechani…
cs.NE2020★ 12 cited
P-CRITICAL: A Reservoir Autoregulation Plasticity Rule for Neuromorphic Hardware
Ismael Balafrej, Jean Rouat
Backpropagation algorithms on recurrent artificial neural networks require an unfolding of accumulated states over time. These states must be kept in memory for an undefined period…