IEEE

Toward Temporal Efficient Spiking Neural Network via Dynamic Training and Inference

Abstract: Spiking Neural Networks (SNNs) have emerged as a promising alternative to traditional Artificial Neural Networks (ANNs) due to their biological interpretability. SNNs process input ...
GitHub

Event-Driven Spiking Neural Network Accelerator for FPGA

This project implements a complete event-driven spiking neural network (SNN) accelerator on FPGA with seamless PyTorch integration for training and deployment. The design uses Accumulate-only (AC) ...
IEEE

Regression Model Employing Spiking Neural Network for Bio-Signal Analysis With Hardware Integration

Abstract: Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across various problems and applications. However, their ...
Frontiers

SSEL: spike-based structural entropic learning for spiking graph neural networks

1 School of Electrical Automation and Information Engineering, Tianjin University, Tianjin, China 2 National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering ...