1 citations · 1 across the 5 of their papers we have counts for
5 papers
Unsupervised local learning based on voltage-dependent synaptic plasticity for resistive and ferroelectric synapses
Nikhil Garg, Ismael Balafrej, Joao Henrique Quintino Palhares +11
The deployment of AI on edge computing devices faces significant challenges related to energy consumption and functionality. These devices could greatly benefit from brain-inspired…
Hardware Implementation of Tunable Fractional-Order Capacitors by Morphogenesis of Conducting Polymer Dendrites
Antoine Baron, Enrique H. Balaguera, Corentin Scholaert +2
Conventional electronics is founded on a paradigm where shaping perfect electrical elements is done at the fabrication plant, so as to make devices and systems identical, "eternall…
Brain-inspired polymer dendrite networks for morphology-dependent computing hardware
Scholaert Corentin, Coffinier Yannick, Pecqueur Sébastien +1
Variability has always been a challenge to mitigate in electronics. This especially holds true for organic semiconductors, where reproducibility and long-term stability concerns hi…
Versatile CMOS Analog LIF Neuron for Memristor-Integrated Neuromorphic Circuits
Nikhil Garg, Davide Florini, Patrick Dufour +8
Heterogeneous systems with analog CMOS circuits integrated with nanoscale memristive devices enable efficient deployment of neural networks on neuromorphic hardware. CMOS Neuron wi…
Expanding memory in recurrent spiking networks
Ismael Balafrej, Fabien Alibart, Jean Rouat
Recurrent spiking neural networks (RSNNs) are notoriously difficult to train because of the vanishing gradient problem that is enhanced by the binary nature of the spikes. In this…