:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Zhuobin, Bao, Yeyao, Lv, Liangfu, Zhang, Jian, Li, Xiaohong, Zang, Yunliang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.20687
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CDRL: A Reinforcement Learning Framework Inspired by Cerebellar Circuits and Dendritic Computational Strategies
by: Zhang, Sibo, et al.
Published: (2026)

Seemingly Redundant Modules Enhance Robust Odor Learning in Fruit Flies
by: Li, Haiyang, et al.
Published: (2025)

LRR ‐ UNet : A Deep Unfolding Network With Low‐Rank Recovery for EEG Signal Denoising
by: Xiaoxiong Yue, et al.
Published: (2025)

Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning
by: Zou, Heming, et al.
Published: (2025)

Structural features of the fly olfactory circuit mitigate the stability-plasticity dilemma in continual learning
by: Zou, Heming, et al.
Published: (2025)

On the Universal Representation Property of Spiking Neural Networks
by: Hundrieser, Shayan, et al.
Published: (2025)

Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients
by: Zhou, Feifan, et al.
Published: (2026)

Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks
by: Karilanova, Sanja, et al.
Published: (2024)

Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks
by: Yin, Huifeng, et al.
Published: (2024)

Loss Spike in Training Neural Networks
by: Li, Xiaolong, et al.
Published: (2023)

Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons
by: Ali, Asmer Hamid, et al.
Published: (2024)

Gated Parametric Neuron for Spike-based Audio Recognition
by: Wang, Haoran, et al.
Published: (2024)

SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks
by: Luo, Xinyu, et al.
Published: (2025)

Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks
by: Wang, Jihang, et al.
Published: (2025)

Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
by: Nguyen, Duc Anh, et al.
Published: (2025)

Robust Knowledge Adaptation for Dynamic Graph Neural Networks
by: Li, Hanjie, et al.
Published: (2022)

Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers
by: Ding, Yongqi, et al.
Published: (2025)

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks
by: Sun, Kai, et al.
Published: (2025)

Discretized Quadratic Integrate-and-Fire Neuron Model for Deep Spiking Neural Networks
by: Jahns, Eric, et al.
Published: (2025)

Local Timescale Gates for Timescale-Robust Continual Spiking Neural Networks
by: Tiwari, Ansh, et al.
Published: (2025)

Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
by: Xu, Qi, et al.
Published: (2025)

Toward Efficient Deep Spiking Neuron Networks:A Survey On Compression
by: Xie, Hui, et al.
Published: (2024)

Characterizing the Representational Capacity of Neural Processes
by: Young, Robin
Published: (2026)

SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network
by: Lv, Changze, et al.
Published: (2023)

Adversarially Robust Spiking Neural Networks with Sparse Connectivity
by: Schmolli, Mathias, et al.
Published: (2025)

Adversarially Robust Spiking Neural Networks Through Conversion
by: Özdenizci, Ozan, et al.
Published: (2023)

FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
by: Zou, Heming, et al.
Published: (2025)

Spiking Graph Neural Network on Riemannian Manifolds
by: Sun, Li, et al.
Published: (2024)

On the Representational Capacity of Recurrent Neural Language Models
by: Nowak, Franz, et al.
Published: (2023)

Activation-wise Propagation: A One-Timestep Strategy for Spiking Neural Networks
by: Song, Jian, et al.
Published: (2025)

SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots
by: Zhang, Chuhan, et al.
Published: (2025)

Learning Latent Dynamic Robust Representations for World Models
by: Sun, Ruixiang, et al.
Published: (2024)

Bidirectional Time-Frequency Pyramid Network for Enhanced Robust EEG Classification
by: Hong, Jiahui, et al.
Published: (2025)

ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs
by: Jahin, Md Abrar, et al.
Published: (2026)

Deep Pulse-Coupled Neural Networks
by: Yi, Zexiang, et al.
Published: (2023)

Empirical Capacity Model for Self-Attention Neural Networks
by: Härmä, Aki, et al.
Published: (2024)

Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network
by: Duan, Dexin, et al.
Published: (2024)

Neural Models of Task Adaptation: A Tutorial on Spiking Networks for Executive Control
by: Kannan, Ashwin Viswanathan, et al.
Published: (2025)

On the Adversarial Robustness of Spiking Neural Networks Trained by Local Learning
by: Lin, Jiaqi, et al.
Published: (2025)

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
by: Xing, Xingrun, et al.
Published: (2024)