Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Ding, Yongqi, Yang, Kunshan, Li, Linze, Zhang, Yiyang, Jing, Mengmeng, Zuo, Lin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks
by: Zuo, Lin, et al.
Published: (2024)
by: Zuo, Lin, et al.
Published: (2024)
Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
by: Zuo, Lin, et al.
Published: (2024)
by: Zuo, Lin, et al.
Published: (2024)
Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks
by: Xiao, Yongjun, et al.
Published: (2024)
by: Xiao, Yongjun, et al.
Published: (2024)
Learning with Spike Synchrony in Spiking Neural Networks
by: Tian, Yuchen, et al.
Published: (2025)
by: Tian, Yuchen, et al.
Published: (2025)
Parallel Hyperparameter Optimization Of Spiking Neural Network
by: Firmin, Thomas, et al.
Published: (2024)
by: Firmin, Thomas, et al.
Published: (2024)
Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks
by: Saiin, Ryuji, et al.
Published: (2023)
by: Saiin, Ryuji, et al.
Published: (2023)
SpikeFI: A Fault Injection Framework for Spiking Neural Networks
by: Spyrou, Theofilos, et al.
Published: (2024)
by: Spyrou, Theofilos, et al.
Published: (2024)
Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
by: Ma, Chenxiang, et al.
Published: (2025)
by: Ma, Chenxiang, et al.
Published: (2025)
Generalization Bounds of Spiking Neural Networks via Rademacher Complexity
by: Zhang, Shao-Qun, et al.
Published: (2026)
by: Zhang, Shao-Qun, et al.
Published: (2026)
DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks
by: Zhang, Tianqing, et al.
Published: (2025)
by: Zhang, Tianqing, et al.
Published: (2025)
SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA
by: Padovano, Dario, et al.
Published: (2024)
by: Padovano, Dario, et al.
Published: (2024)
Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning
by: Li, Yaxin, et al.
Published: (2024)
by: Li, Yaxin, et al.
Published: (2024)
Optimization of Low-Latency Spiking Neural Networks Utilizing Historical Dynamics of Refractory Periods
by: Tao, Liying, et al.
Published: (2025)
by: Tao, Liying, et al.
Published: (2025)
Neural Dynamics Self-Attention for Spiking Transformers
by: Zhang, Dehao, et al.
Published: (2026)
by: Zhang, Dehao, et al.
Published: (2026)
Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
by: Yu, Ziqiao, et al.
Published: (2025)
by: Yu, Ziqiao, et al.
Published: (2025)
Continual Learning with Columnar Spiking Neural Networks
by: Larionov, Denis, et al.
Published: (2025)
by: Larionov, Denis, et al.
Published: (2025)
Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
by: Zhang, Boxuan, et al.
Published: (2025)
by: Zhang, Boxuan, et al.
Published: (2025)
Learning in Spiking Neural Networks with a Calcium-based Hebbian Rule for Spike-timing-dependent Plasticity
by: Girão, Willian Soares, et al.
Published: (2025)
by: Girão, Willian Soares, et al.
Published: (2025)
SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization
by: Xu, Changqing, et al.
Published: (2025)
by: Xu, Changqing, et al.
Published: (2025)
TS-SNN: Temporal Shift Module for Spiking Neural Networks
by: Yu, Kairong, et al.
Published: (2025)
by: Yu, Kairong, et al.
Published: (2025)
Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis
by: Zhou, Yunduo, et al.
Published: (2025)
by: Zhou, Yunduo, et al.
Published: (2025)
Exploring the Limitations of Layer Synchronization in Spiking Neural Networks
by: Koopman, Roel, et al.
Published: (2024)
by: Koopman, Roel, et al.
Published: (2024)
Spiking Neural Networks: The Future of Brain-Inspired Computing
by: Aribe Jr, Sales G.
Published: (2025)
by: Aribe Jr, Sales G.
Published: (2025)
SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks
by: Xu, Boxun, et al.
Published: (2025)
by: Xu, Boxun, et al.
Published: (2025)
Spikingformer: A Key Foundation Model for Spiking Neural Networks
by: Zhou, Chenlin, et al.
Published: (2023)
by: Zhou, Chenlin, et al.
Published: (2023)
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks
by: Han, Bing, et al.
Published: (2023)
by: Han, Bing, et al.
Published: (2023)
SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning
by: Xie, Hui, et al.
Published: (2025)
by: Xie, Hui, et al.
Published: (2025)
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks
by: Yin, Huifeng, et al.
Published: (2024)
by: Yin, Huifeng, et al.
Published: (2024)
Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
by: Raptis, Spyridon, et al.
Published: (2025)
by: Raptis, Spyridon, et al.
Published: (2025)
Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks
by: Pan, Wenxuan, et al.
Published: (2024)
by: Pan, Wenxuan, et al.
Published: (2024)
Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks
by: Chakraborty, Biswadeep, et al.
Published: (2024)
by: Chakraborty, Biswadeep, et al.
Published: (2024)
Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
by: Cai, Wuque, et al.
Published: (2026)
by: Cai, Wuque, et al.
Published: (2026)
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks
by: Gogebakan, Anil Bayram, et al.
Published: (2024)
by: Gogebakan, Anil Bayram, et al.
Published: (2024)
Geometry-Aware Spiking Graph Neural Network
by: Zhang, Bowen, et al.
Published: (2025)
by: Zhang, Bowen, et al.
Published: (2025)
Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction
by: Udupi, Himanshu, et al.
Published: (2026)
by: Udupi, Himanshu, et al.
Published: (2026)
Spark: Modular Spiking Neural Networks
by: Franco, Mario, et al.
Published: (2026)
by: Franco, Mario, et al.
Published: (2026)
Continuous Spiking Graph Neural Networks
by: Yin, Nan, et al.
Published: (2024)
by: Yin, Nan, et al.
Published: (2024)
Parallel Proportional Fusion of Spiking Quantum Neural Network for Optimizing Image Classification
by: Xu, Zuyu, et al.
Published: (2024)
by: Xu, Zuyu, et al.
Published: (2024)
Robust Stable Spiking Neural Networks
by: Ding, Jianhao, et al.
Published: (2024)
by: Ding, Jianhao, et al.
Published: (2024)
Similar Items
-
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks
by: Zuo, Lin, et al.
Published: (2024) -
Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
by: Zuo, Lin, et al.
Published: (2024) -
Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks
by: Xiao, Yongjun, et al.
Published: (2024) -
Learning with Spike Synchrony in Spiking Neural Networks
by: Tian, Yuchen, et al.
Published: (2025) -
Parallel Hyperparameter Optimization Of Spiking Neural Network
by: Firmin, Thomas, et al.
Published: (2024)