:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Hongzhi, Liang, Xiubo, Li, Mengjian, Zhang, Tao
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2406.14180
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Duck swarm algorithm: theory, numerical optimization, and applications
by: Zhang, Mengjian, et al.
Published: (2021)

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

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

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

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

Neural Dynamics Self-Attention for Spiking Transformers
by: Zhang, Dehao, et al.
Published: (2026)

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

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

STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking
by: Shen, Sicheng, 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)

Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-Constrained Pruning
by: Xu, Boxun, et al.
Published: (2025)

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

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

TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers
by: Shen, Sicheng, et al.
Published: (2026)

SGHormer: An Energy-Saving Graph Transformer Driven by Spikes
by: Zhang, Huizhe, et al.
Published: (2024)

GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization
by: Zhang, Huizhe, et al.
Published: (2025)

Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks
by: Qiu, Xuerui, et al.
Published: (2023)

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

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

SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention
by: Sun, Yundong, et al.
Published: (2024)

Fractional-order Spiking Neural Network
by: Ge, Chengjie, et al.
Published: (2025)

SpikeAtConv: An Integrated Spiking-Convolutional Attention Architecture for Energy-Efficient Neuromorphic Vision Processing
by: Liao, Wangdan, et al.
Published: (2024)

Spatial-Temporal Search for Spiking Neural Networks
by: Che, Kaiwei, et al.
Published: (2024)

Evolutionary Spiking Neural Networks: A Survey
by: Shen, Shuaijie, et al.
Published: (2024)

Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
by: Che, Kaiwei, et al.
Published: (2024)

Stochastic Spiking Neural Networks with First-to-Spike Coding
by: Jiang, Yi, et al.
Published: (2024)

Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
by: Zhang, Jieyuan, et al.
Published: (2025)

Spiking Transformer Hardware Accelerators in 3D Integration
by: Xu, Boxun, et al.
Published: (2024)

Spiking Neural Network Phase Encoding for Cognitive Computing
by: Zhang, Lei
Published: (2024)

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
by: Lv, Changze, et al.
Published: (2024)

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

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

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification
by: Mishra, Abhishek, et al.
Published: (2024)

Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
by: Zhang, Boxuan, et al.
Published: (2025)

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network
by: Xu, Shang, et al.
Published: (2025)

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

Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks for Efficient Eye-based Emotion Recognition
by: Liu, Qianhui, et al.
Published: (2025)

Hybrid Temporal-8-Bit Spike Coding for Spiking Neural Network Surrogate Training
by: Nhan, Luu Trong, et al.
Published: (2025)

SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation
by: Bal, Malyaban, et al.
Published: (2023)

Bayesian Inference Accelerator for Spiking Neural Networks
by: Katti, Prabodh, et al.
Published: (2024)