2 papers
cs.NE2024
Twin Network Augmentation: A Novel Training Strategy for Improved Spiking Neural Networks and Efficient Weight Quantization
Lucas Deckers, Benjamin Vandersmissen, Ing Jyh Tsang +2
The proliferation of Artificial Neural Networks (ANNs) has led to increased energy consumption, raising concerns about their sustainability. Spiking Neural Networks (SNNs), which a…
cs.NE2023
Co-learning synaptic delays, weights and adaptation in spiking neural networks
Lucas Deckers, Laurens Van Damme, Ing Jyh Tsang +2
Spiking neural networks (SNN) distinguish themselves from artificial neural networks (ANN) because of their inherent temporal processing and spike-based computations, enabling a po…