Copertina

Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Huang, Zhipeng, Ding, Jianhao, Pan, Zhiyu, Li, Haoran, Fang, Ying, Yu, Zhaofei, Liu, Jian K.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Latency Coding Framework for Deep Spiking Neural Networks with Ultra-Low Latency
di: Lu, Yi, et al.
Pubblicazione: (2026)

Robust Stable Spiking Neural Networks
di: Ding, Jianhao, et al.
Pubblicazione: (2024)

Enhancing Adversarial Robustness in SNNs with Sparse Gradients
di: Liu, Yujia, et al.
Pubblicazione: (2024)

PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks
di: Dong, Yiting, et al.
Pubblicazione: (2025)

Unleashing Temporal Capacity of Spiking Neural Networks through Spatiotemporal Separation
di: Dong, Yiting, et al.
Pubblicazione: (2025)

Training Deep Normalization-Free Spiking Neural Networks with Lateral Inhibition
di: Liu, Peiyu, et al.
Pubblicazione: (2025)

Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications
di: Bu, Tong, et al.
Pubblicazione: (2024)

Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control
di: Xu, Zijie, et al.
Pubblicazione: (2025)

Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures
di: Lin, Jiaqi, et al.
Pubblicazione: (2024)

General Self-Prediction Enhancement for Spiking Neurons
di: Huang, Zihan, et al.
Pubblicazione: (2026)

Sparse Axonal and Dendritic Delays Enable Competitive SNNs for Keyword Classification
di: Bouhadjar, Younes, et al.
Pubblicazione: (2026)

MS2Edge: Towards Energy-Efficient and Crisp Edge Detection with Multi-Scale Residual Learning in SNNs
di: Fan, Yimeng, et al.
Pubblicazione: (2025)

Improving Low-Latency Learning Performance in Spiking Neural Networks via a Change-Perceptive Dendrite-Soma-Axon Neuron
di: Huang, Zeyu, et al.
Pubblicazione: (2025)

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion
di: Li, Chen, et al.
Pubblicazione: (2024)

A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware
di: Ronzani, Marco, et al.
Pubblicazione: (2026)

Supervised Radio Frequency Interference Detection with SNNs
di: Pritchard, Nicholas J., et al.
Pubblicazione: (2024)

A Complete Pipeline for deploying SNNs with Synaptic Delays on Loihi 2
di: Mészáros, Balázs, et al.
Pubblicazione: (2025)

Analyzing Internal Activity and Robustness of SNNs Across Neuron Parameter Space
di: Mazurek, Szymon, et al.
Pubblicazione: (2025)

CaRe-BN: Precise Moving Statistics for Stabilizing Spiking Neural Networks in Reinforcement Learning
di: Xu, Zijie, et al.
Pubblicazione: (2025)

Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks
di: Wang, Lihao, et al.
Pubblicazione: (2024)

Flexi-NeurA: A Configurable Neuromorphic Accelerator with Adaptive Bit-Precision Exploration for Edge SNNs
di: Farahani, Mohammad, et al.
Pubblicazione: (2026)

Better, But Not Sufficient: Testing Video ANNs Against Macaque IT Dynamics
di: Dunnhofer, Matteo, et al.
Pubblicazione: (2026)

A Comprehensive Comparison Between ANNs and KANs For Classifying EEG Alzheimer's Data
di: Sunkara, Akshay, et al.
Pubblicazione: (2024)

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
di: Fang, Wei, et al.
Pubblicazione: (2023)

LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
di: Hao, Zecheng, et al.
Pubblicazione: (2024)

Diversified Residual Symbolic Regression
di: Ikeda, Koki, et al.
Pubblicazione: (2026)

Rethinking SNN Online Training and Deployment: Gradient-Coherent Learning via Hybrid-Driven LIF Model
di: Hao, Zecheng, et al.
Pubblicazione: (2024)

ReLANCE: A Resource-Efficient Low-Latency Cortical Neural Acceleration Engine
di: Kumar, Sonu, et al.
Pubblicazione: (2025)

Optimization of Low-Latency Spiking Neural Networks Utilizing Historical Dynamics of Refractory Periods
di: Tao, Liying, et al.
Pubblicazione: (2025)

Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization
di: Yin, Haoran, et al.
Pubblicazione: (2026)

Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization
di: Wang, Ziming, et al.
Pubblicazione: (2022)

TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks
di: Malettira, Prajna G., et al.
Pubblicazione: (2024)

Theoretical Analysis of Explicit Averaging and Novel Sign Averaging in Comparison-Based Search
di: Morinaga, Daiki, et al.
Pubblicazione: (2024)

Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality
di: Hou, Yaqing, et al.
Pubblicazione: (2023)

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
di: Zhou, Chenlin, et al.
Pubblicazione: (2024)

CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
di: Huang, Yongsheng, et al.
Pubblicazione: (2025)

Neuromorphic Eye Tracking for Low-Latency Pupil Detection
di: Hueber, Paul, et al.
Pubblicazione: (2025)

Accelerating evolutionary exploration through language model-based transfer learning
di: Reissmann, Maximilian, et al.
Pubblicazione: (2024)

Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware
di: Chen, Zhenhui, et al.
Pubblicazione: (2025)

An Error Discovery and Correction for the Family of V-Shaped BPSO Algorithms
di: Zhao, Qing, et al.
Pubblicazione: (2024)