Masquelier – CerCo

Temporal Backpropagation for Spiking Neural Networkswith One Spike per Neuron

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron.

Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks.

Deep learning in spiking neural networks

Representation learning using event-based STDP.

First-Spike-Based Visual Categorization Using Reward-Modulated STDP

Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection.

STDP-based spiking deep convolutional neural networks for object recognition.

Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing.

Emergence of binocular disparity selectivity through Hebbian learning