Relaxation LIF: A gradient-based spiking neuron for direct training deep spiking neural networks

The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks

(2021) Friedemann Zenke et al.   NEURAL COMPUTATION

DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization

(2021) Nitin Rathi et al.   IEEE Transactions on Neural Networks and Learning Systems

Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures

(2020) Chankyu Lee et al.   Frontiers in Neuroscience

Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)

(2020) Jacques Kaiser et al.   Frontiers in Neuroscience

Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences

(2020) Weihua He et al.   NEURAL NETWORKS

A New Spiking Convolutional Recurrent Neural Network (SCRNN) With Applications to Event-Based Hand Gesture Recognition

(2020) Yannan Xing et al.   Frontiers in Neuroscience

Intrinsic Plasticity for Online Unsupervised Learning Based on Soft-Reset Spiking Neuron Model

(2020) Anguo Zhang et al.   IEEE Transactions on Cognitive and Developmental Systems

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

(2019) Abhronil Sengupta et al.   Frontiers in Neuroscience

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks

(2019) Emre O. Neftci et al.   IEEE SIGNAL PROCESSING MAGAZINE

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

(2018) Yujie Wu et al.   Frontiers in Neuroscience

Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning

(2018) Chankyu Lee et al.   Frontiers in Neuroscience

Deep learning in spiking neural networks

(2018) Amirhossein Tavanaei et al.   NEURAL NETWORKS

CIFAR10-DVS: An Event-Stream Dataset for Object Classification

(2017) Hongmin Li et al.   Frontiers in Neuroscience

Training Deep Spiking Neural Networks Using Backpropagation

(2016) Jun Haeng Lee et al.   Frontiers in Neuroscience

Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades

(2015) Garrick Orchard et al.   Frontiers in Neuroscience

Floating Gate Synapses With Spike-Time-Dependent Plasticity

(2011) Shubha Ramakrishnan et al.   IEEE Transactions on Biomedical Circuits and Systems