Networks of Spiking Neurons: The Third Generation of Neural Network Models

A review of learning in biologically plausible spiking neural networks

Rethinking the performance comparison between SNNS and ANNS

Long Short-Term Memory Spiking Networks and Their Applications

Towards spike-based machine intelligence with neuromorphic computing

Event-driven Random Backpropagation: Enabling Neuromorphic Deep Learning Machines

S4NN: temporal backpropagation for spiking neural networks with one spike per neuron

Visualizing a joint future of neuroscience and neuromorphic engineering

Surrogate Gradient Learning in Spiking Neural Networks

Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks

SLAYER: Spike Layer Error Reassignment in Time

Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations

Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient