183 citations · 277 across the 5 of their papers we have counts for
5 papers
OvA-INN: Continual Learning with Invertible Neural Networks
G. Hocquet, O. Bichler, D. Querlioz
In the field of Continual Learning, the objective is to learn several tasks one after the other without access to the data from previous tasks. Several solutions have been proposed…
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes
Johannes Christian Thiele, Olivier Bichler, Antoine Dupret
Event-based neuromorphic systems promise to reduce the energy consumption of deep learning tasks by replacing expensive floating point operations on dense matrices by low power spa…
A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation
Johannes C. Thiele, Olivier Bichler, Antoine Dupret +2
The increasing need for intelligent sensors in a wide range of everyday objects requires the existence of low power information processing systems which can operate autonomously in…
Pavlov's dog associative learning demonstrated on synaptic-like organic transistors
O. Bichler, W. Zhao, F. Alibart +4
In this letter, we present an original demonstration of an associative learning neural network inspired by the famous Pavlov's dogs experiment. A single nanoparticle organic memory…
A memristive nanoparticle/organic hybrid synapstor for neuro-inspired computing
F. Alibart, S. Pleutin, O. Bichler +4
A large effort is devoted to the research of new computing paradigms associated to innovative nanotechnologies that should complement and/or propose alternative solutions to the cl…