Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning
Y Zhang, X Liu, Y Chen, W Peng, Y Guo… - Proceedings of the …, 2024 - ojs.aaai.org
Spiking neural networks (SNNs) have attracted intensive attention as a promising energy-
efficient alternative to conventional artificial neural networks (ANNs) recently, which could …
efficient alternative to conventional artificial neural networks (ANNs) recently, which could …
Neuroclip: Neuromorphic data understanding by clip and snn
Y Guo, Y Chen, Z Ma - IEEE Signal Processing Letters, 2024 - ieeexplore.ieee.org
Recently, the neuromorphic vision sensor has received more and more interest. However,
the neuromorphic data consists of asynchronous event spikes, which makes it difficult to …
the neuromorphic data consists of asynchronous event spikes, which makes it difficult to …
Learning A Spiking Neural Network for Efficient Image Deraining
Recently, spiking neural networks (SNNs) have demonstrated substantial potential in
computer vision tasks. In this paper, we present an Efficient Spiking Deraining Network …
computer vision tasks. In this paper, we present an Efficient Spiking Deraining Network …
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
Towards energy-efficient artificial intelligence similar to the human brain, the bio-inspired
spiking neural networks (SNNs) have advantages of biological plausibility, event-driven …
spiking neural networks (SNNs) have advantages of biological plausibility, event-driven …
FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion
Spiking Neural Networks (SNNs) offer a promising avenue for energy-efficient computing
compared with Artificial Neural Networks (ANNs), closely mirroring biological neural …
compared with Artificial Neural Networks (ANNs), closely mirroring biological neural …
Ternary Spike-Based Neuromorphic Signal Processing System
D Zhang, A Belatreche, Y Xiao, H Qing, W Wei… - papers.ssrn.com
Abstract Deep Neural Networks (DNNs) have been successfully implemented across
various signal processing fields, resulting in significant enhancements in performance …
various signal processing fields, resulting in significant enhancements in performance …