Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu, and Michael Pfeiffer

Fast and Efficient Asynchronous Neural Computation in Deep Adaptive Spiking Neural Networks Davide Zambrano and Sander Bohte

A wake-sleep algorithm for recurrent, spiking neural networks Johannes Thiele, Peter Diehl and Matthew Cook

Deep counter networks for asynchronous event-based processing Jonathan Binas, Giacomo Indiveri and Michael Pfeiffer

Spike-based reinforcement learning for temporal stimulus segmentation and decision making Luisa Le Donne, Luca Mazzucato, Robert Urbanczik, Walter Senn and Giancarlo La Camera