15 citations · 35 across the 27 of their papers we have counts for
3 papers · 1 filter
Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function
Ayan Shymyrbay, Mohammed E. Fouda, Ahmed Eltawil
Deep neural networks have been proven to be highly effective tools in various domains, yet their computational and memory costs restrict them from being widely deployed on portable…
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time
Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil +1
Directly training spiking neural networks (SNNs) has remained challenging due to complex neural dynamics and intrinsic non-differentiability in firing functions. The well-known bac…
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks
Melika Payvand, Mohammed E. Fouda, Fadi Kurdahi +2
Recent breakthroughs in neuromorphic computing show that local forms of gradient descent learning are compatible with Spiking Neural Networks (SNNs) and synaptic plasticity. Althou…