787 citations · 803 across the 5 of their papers we have counts for
10 papers
PyTorch-Hebbian: facilitating local learning in a deep learning framework
Jules Talloen, Joni Dambre, Alexander Vandesompele
Recently, unsupervised local learning, based on Hebb's idea that change in synaptic efficacy depends on the activity of the pre- and postsynaptic neuron only, has shown potential a…
Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped
Alexander Vandesompele, Gabriel Urbain, Francis wyffels +1
Compliant robots can be more versatile than traditional robots, but their control is more complex. The dynamics of compliant bodies can however be turned into an advantage using th…
Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot
Gabriel Urbain, Victor Barasuol, Claudio Semini +2
Advances in legged robotics are strongly rooted in animal observations. A clear illustration of this claim is the generalization of Central Pattern Generators (CPG), first identifi…
Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping
Matthias Freiberger, Peter Bienstman, Joni Dambre
Photonic reservoir computing is a promising candidate for low-energy computing at high bandwidths. Despite recent successes, there are bounds to what one can achieve simply by maki…
Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout
Chonghuai Ma, Floris Laporte, Joni Dambre +1
Using optical hardware for neuromorphic computing has become more and more popular recently due to its efficient high-speed data processing capabilities and low power consumption.…
Training Passive Photonic Reservoirs with Integrated Optical Readout
Matthias Freiberger, Andrew Katumba, Peter Bienstman +1
As Moore's law comes to an end, neuromorphic approaches to computing are on the rise. One of these, passive photonic reservoir computing, is a strong candidate for computing at hig…