221 citations · 390 across the 15 of their papers we have counts for
20 papers
Multi-terminal memristive devices enabling tunable synaptic plasticity in neuromorphic hardware: a mini-review
Yann Beilliard, Fabien Alibart
Neuromorphic computing based on spiking neural networks has the potential to significantly improve on-line learning capabilities and energy efficiency of artificial intelligence, s…
Bio-inspired adaptive sensing through electropolymerization of organic electrochemical transistors
Mahdi Ghazal, Michel Daher Mansour, Corentin Scholaert +4
Organic Electrochemical Transistors are considered today as a key technology to interact with biological medium through their intrinsic ionic-electronic coupling. In this paper, we…
Dendritic organic electrochemical transistors grown by electropolymerization for 3D neuromorphic engineering
Kamila Janzakova, Mahdi Ghazal, Ankush Kumar +3
One of the major limitation of standard top-down technologies used in today's neuromorphic engineering is their inability to map the 3D nature of biological brains. Here, we show h…
Theoretical modeling of dendrite growth from conductive wire electropolymerization
Ankush Kumar, Kamila Janzakova, Yannick Coffinier +2
Electropolymerization is a bottom-up materials engineering process of micro and nano-scale that utilizes electrical signals to deposit conducting dendrites' morphologies by a redox…
Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition
Nikhil Garg, Ismael Balafrej, Yann Beilliard +3
Surface electromyogram (sEMG) signals result from muscle movement and hence they are an ideal candidate for benchmarking event-driven sensing and computing. We propose a simple yet…
Oxygen vacancy engineering of TaOx-based resistive memories by Zr doping for improved variability and synaptic behavior
Joao H. Quintino Palhares, Yann Beilliard, Fabien Alibart +5
Resistive switching devices are promising emerging non-volatile memories. However, one of the biggest challenges for resistive switching (RS) memory applications is the device-to-d…