Spiking Neural Network
Spiking neural networks (SNNs), inspired by the brain's event-driven communication, aim to create energy-efficient artificial intelligence by processing information through binary spikes rather than continuous values. Current research emphasizes improving training efficiency through novel neuron models (e.g., parallel resonate and fire neurons, multi-compartment neurons), developing specialized weight initialization methods, and exploring various coding schemes (e.g., Poisson coding, stepwise weighted spike coding) to optimize performance and reduce energy consumption. This field is significant due to SNNs' potential for low-power applications in embedded systems, neuromorphic computing, and real-time signal processing tasks like robotic manipulation and brain-computer interfaces.
Papers
Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation
Linghao Feng, Dongcheng Zhao, Sicheng Shen, Yiting Dong, Guobin Shen, Yi Zeng
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
Weiyu Guo, Ying Sun, Yijie Xu, Ziyue Qiao, Yongkui Yang, Hui Xiong
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
Stochastic Spiking Neural Networks with First-to-Spike Coding
Yi Jiang, Sen Lu, Abhronil Sengupta
A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation
Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Darren Dancey
Defending Spiking Neural Networks against Adversarial Attacks through Image Purification
Weiran Chen, Qi Sun, Qi Xu
Oxygen vacancies modulated VO2 for neurons and Spiking Neural Network construction
Liang Li, Ting Zhou, Tong Liu, Zhiwei Liu, Yaping Li, Shuo Wu, Shanguang Zhao, Jinglin Zhu, Meiling Liu, Zhihan Lin, Bowen Sun, Jianjun Li, Fangwen Sun, Chongwen Zou
MK-SGN: A Spiking Graph Convolutional Network with Multimodal Fusion and Knowledge Distillation for Skeleton-based Action Recognition
Naichuan Zheng, Hailun Xia, Zeyu Liang, Yuchen Du