42 citations · 43 across the 3 of their papers we have counts for
3 papers
All in one timestep: Enhancing Sparsity and Energy efficiency in Multi-level Spiking Neural Networks
Andrea Castagnetti, Alain Pegatoquet, Benoît Miramond
Spiking Neural Networks (SNNs) are one of the most promising bio-inspired neural networks models and have drawn increasing attention in recent years. The event-driven communication…
Neural information coding for efficient spike-based image denoising
Andrea Castagnetti, Alain Pegatoquet, Benoît Miramond
In recent years, Deep Convolutional Neural Networks (DCNNs) have outreached the performance of classical algorithms for image restoration tasks. However most of these methods are n…
An Analytical Estimation of Spiking Neural Networks Energy Efficiency
Edgar Lemaire, Loic Cordone, Andrea Castagnetti +3
Spiking Neural Networks are a type of neural networks where neurons communicate using only spikes. They are often presented as a low-power alternative to classical neural networks,…