227 citations · 441 across the 20 of their papers we have counts for
4 papers · 1 filter
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN
Yangfan Hu, Qian Zheng, Xudong Jiang +1
Spiking neural networks (SNNs) have shown advantages in computation and energy efficiency over traditional artificial neural networks (ANNs) thanks to their event-driven representa…
NeuSort: An Automatic Adaptive Spike Sorting Approach with Neuromorphic Models
Hang Yu, Yu Qi, Gang Pan
Objective. Spike sorting, a critical step in neural data processing, aims to classify spiking events from single electrode recordings based on different waveforms. This study aims…
Efficient Spiking Neural Networks with Logarithmic Temporal Coding
Ming Zhang, Nenggan Zheng, De Ma +2
A Spiking Neural Network (SNN) can be trained indirectly by first training an Artificial Neural Network (ANN) with the conventional backpropagation algorithm, then converting it in…
Spiking Deep Residual Network
Yangfan Hu, Huajin Tang, Gang Pan
Spiking neural networks (SNNs) have received significant attention for their biological plausibility. SNNs theoretically have at least the same computational power as traditional a…