Cover Image

General Self-Prediction Enhancement for Spiking Neurons

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Zihan, Xu, Zijie, Huang, Yihan, Jia, Shanshan, Bu, Tong, Dong, Yiting, Liu, Wenxuan, Ding, Jianhao, Yu, Zhaofei, Huang, Tiejun
Format:	Preprint
Published:	2026
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Robust Stable Spiking Neural Networks
by: Ding, Jianhao, et al.
Published: (2024)

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

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

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

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

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

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

Ge$^\text{2}$mS-T: Multi-Dimensional Grouping for Ultra-High Energy Efficiency in Spiking Transformer
by: Hao, Zecheng, et al.
Published: (2026)

Noisy Spiking Actor Network for Exploration
by: Chen, Ding, et al.
Published: (2024)

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

Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs
by: Huang, Zhipeng, et al.
Published: (2024)

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
by: Xue, Peng, et al.
Published: (2025)

Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
by: Hao, Zecheng, et al.
Published: (2024)

TMN: A Lightweight Neuron Model for Efficient Nonlinear Spike Representation
by: Gu, Yiwen, et al.
Published: (2024)

Deep Reinforcement Learning with Spiking Q-learning
by: Chen, Ding, et al.
Published: (2022)

Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning
by: Chen, Ding, et al.
Published: (2024)

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

CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
by: Huang, Yulong, et al.
Published: (2024)

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
by: Li, Yang, et al.
Published: (2024)

Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation
by: Feng, Linghao, et al.
Published: (2024)

PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks
by: Huang, Yulong, et al.
Published: (2024)

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

SpikeMLLM: Spike-based Multimodal Large Language Models via Modality-Specific Temporal Scales and Temporal Compression
by: Xu, Han, et al.
Published: (2026)

SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition
by: Zheng, Zeqi, et al.
Published: (2025)

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

Adaptive Spiking Neurons for Vision and Language Modeling
by: Zhou, Chenlin, et al.
Published: (2026)

Spike-driven Large Language Model
by: Xu, Han, et al.
Published: (2026)

Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
by: Shen, Guobin, et al.
Published: (2023)

Ternary Spiking Neural Networks Enhanced by Complemented Neurons and Membrane Potential Aggregation
by: Zhang, Boxuan, et al.
Published: (2026)

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding
by: Ferdaoussi, Ahmad El, et al.
Published: (2024)

STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers
by: Zheng, Zeqi, et al.
Published: (2025)

SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks
by: Shi, Xinyu, et al.
Published: (2024)

Parallel Training in Spiking Neural Networks
by: Huang, Yanbin, et al.
Published: (2026)

Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
by: Yin, Yujia, et al.
Published: (2024)

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
by: Lv, Changze, et al.
Published: (2024)

Stabilizing Spiking Neuron Training
by: Herranz-Celotti, Luca, et al.
Published: (2022)

SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization
by: Xu, Changqing, et al.
Published: (2025)