19 citations · 41 across the 7 of their papers we have counts for
4 papers · 1 filter
Impact of spiking neurons leakages and network recurrences on event-based spatio-temporal pattern recognition
Mohamed Sadek Bouanane, Dalila Cherifi, Elisabetta Chicca +1
Spiking neural networks coupled with neuromorphic hardware and event-based sensors are getting increased interest for low-latency and low-power inference at the edge. However, mult…
Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits
Lyes Khacef, Philipp Klein, Matteo Cartiglia +3
Understanding how biological neural networks carry out learning using spike-based local plasticity mechanisms can lead to the development of powerful, energy-efficient, and adaptiv…
Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware
Simon F Muller-Cleve, Vittorio Fra, Lyes Khacef +8
Spatio-temporal pattern recognition is a fundamental ability of the brain which is required for numerous real-world activities. Recent deep learning approaches have reached outstan…
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…