research
∙
08/16/2023
Membrane Potential Batch Normalization for Spiking Neural Networks
As one of the energy-efficient alternatives of conventional neural netwo...
share
research
∙
08/13/2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
Spiking Neural Networks (SNNs) as one of the biology-inspired models hav...
research
∙
07/10/2023
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks
The Spiking Neural Network (SNN) has attracted more and more attention r...
research
∙
06/21/2023
NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN
Recently, the neuromorphic vision sensor has received more and more inte...
research
∙
05/31/2023
Direct Learning-Based Deep Spiking Neural Networks: A Review
The spiking neural network (SNN), as a promising brain-inspired computat...
research
∙
05/03/2023
Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization
Emerged as a biology-inspired method, Spiking Neural Networks (SNNs) mim...
research
∙
10/13/2022