Suggestions

Du même auteur

Technical report: supervised training of convolutional spiking neural networks with PyTorch

Archive ouverte | Zimmer, Romain | CCSD

Recently, it has been shown that spiking neural networks (SNNs) can be trained efficiently, in a supervised manner, using backpropagation through time. Indeed, the most commonly used spiking neuron model, the leaky integrate-and-f...

Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity

Archive ouverte | Masquelier, Timothée | CCSD

International audience. This paper focuses on feedforward spiking neuron models of the visual cortex. Essentially, we show that a combination of a temporal coding scheme where the most strongly activated neurons fir...

Optical flow estimation from event-based cameras and spiking neural networks

Archive ouverte | Cuadrado, Javier | CCSD

International audience. Event-based cameras are raising interest within the computer vision community. These sensors operate with asynchronous pixels, emitting events, or “spikes”, when the luminance change at a giv...

Chargement des enrichissements...