10 citations · 10 across the 4 of their papers we have counts for
4 papers
Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition
Valentin M. Meunier, Amélie Gruel, Pierre Lewden +2
Obtaining data from neuromorphic sensors and processing it with Spiking Neural Networks is a promising solution to lower the energy cost of artificial intelligence. The current rar…
Line-based Event Preprocessing: Towards Low-Energy Neuromorphic Computer Vision
Amélie Gruel, Pierre Lewden, Adrien F. Vincent +1
Neuromorphic vision made significant progress in recent years, thanks to the natural match between spiking neural networks and event data in terms of biological inspiration, energy…
Precise spiking motifs in neurobiological and neuromorphic data
Antoine Grimaldi, Amélie Gruel, Camille Besnainou +3
Why do neurons communicate through spikes? By definition, spikes are all-or-none neural events which occur at continuous times. In other words, spikes are on one side binary, exist…
Bio-inspired visual attention for silicon retinas based on spiking neural networks applied to pattern classification
Amélie Gruel, Jean Martinet
Visual attention can be defined as the behavioral and cognitive process of selectively focusing on a discrete aspect of sensory cues while disregarding other perceivable informatio…