207 citations · 314 across the 11 of their papers we have counts for
3 papers · 1 filter
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,…
Object Detection with Spiking Neural Networks on Automotive Event Data
Loïc Cordone, Benoît Miramond, Philippe Thierion
Automotive embedded algorithms have very high constraints in terms of latency, accuracy and power consumption. In this work, we propose to train spiking neural networks (SNNs) dire…
A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models
Artem R. Muliukov, Laurent Rodriguez, Benoit Miramond +4
The field of artificial intelligence has significantly advanced over the past decades, inspired by discoveries from the fields of biology and neuroscience. The idea of this work is…