Cover Image

SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Zeqi, Huang, Yanchen, Yu, Yingchao, Zhu, Zizheng, Tang, Junfeng, Yu, Zhaofei, Jin, Yaochu
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

TDFormer: A Top-Down Attention-Controlled Spiking Transformer
by: Zhu, Zizheng, et al.
Published: (2025)

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

IP$^{2}$-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks
by: Yu, Yingchao, et al.
Published: (2025)

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

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

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

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)

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

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

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

An Enhanced Differential Grouping Method for Large-Scale Overlapping Problems
by: Tian, Maojiang, 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)

Decision SpikeFormer: Spike-Driven Transformer for Decision Making
by: Huang, Wei, et al.
Published: (2025)

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

Quantization Meets Spikes: Lossless Conversion in the First Timestep via Polarity Multi-Spike Mapping
by: Zhang, Hangming, et al.
Published: (2025)

Toward Relative Positional Encoding in Spiking Transformers
by: Lv, Changze, et al.
Published: (2025)

A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions
by: Du, Wei, et al.
Published: (2024)

Scaling Behaviors of Evolutionary Algorithms on GPUs: When Does Parallelism Pay Off?
by: Yu, Xinmeng, et al.
Published: (2026)

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

Multidomain Evolutionary Optimization on Combinatorial Problems in Complex Networks
by: Zhao, Jie, et al.
Published: (2024)

Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects
by: Ma, Chenxiang, et al.
Published: (2025)

Biologically Inspired Spiking Diffusion Model with Adaptive Lateral Selection Mechanism
by: Feng, Linghao, et al.
Published: (2025)

Spiking Wavelet Transformer
by: Fang, Yuetong, et al.
Published: (2024)

EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
by: Huang, Beichen, et al.
Published: (2023)

Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks
by: Zhang, Hangming, et al.
Published: (2024)

SpikePool: Event-driven Spiking Transformer with Pooling Attention
by: Lee, Donghyun, et al.
Published: (2025)

Supervised learning of spatial features with STDP and homeostasis using Spiking Neural Networks on SpiNNaker
by: Davies, Sergio, et al.
Published: (2023)

EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization
by: Yan, Xueming, et al.
Published: (2024)

Spiking Transformer with Spatial-Temporal Attention
by: Lee, Donghyun, et al.
Published: (2024)

Self-motion as a structural prior for coherent and robust formation of cognitive maps
by: Yu, Yingchao, et al.
Published: (2025)

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

Biologically Plausible Learning via Bidirectional Spike-Based Distillation
by: Lv, Changze, et al.
Published: (2025)

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

Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation
by: Lei, Zhenxin, et al.
Published: (2024)

RTFormer: Re-parameter TSBN Spiking Transformer
by: Wang, Hongzhi, et al.
Published: (2024)

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

$SpikePack$: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
by: Shen, Guobin, et al.
Published: (2025)

Winner-Take-All Spiking Transformer for Language Modeling
by: Zhou, Chenlin, et al.
Published: (2026)