Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Feng, Linghao, Zhao, Dongcheng, Shen, Sicheng, Dong, Yiting, Shen, Guobin, Zeng, Yi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Biologically Inspired Spiking Diffusion Model with Adaptive Lateral Selection Mechanism
by: Feng, Linghao, et al.
Published: (2025)
by: Feng, Linghao, et al.
Published: (2025)
Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
by: Shen, Guobin, et al.
Published: (2023)
by: Shen, Guobin, et al.
Published: (2023)
TIM: An Efficient Temporal Interaction Module for Spiking Transformer
by: Shen, Sicheng, et al.
Published: (2024)
by: Shen, Sicheng, et al.
Published: (2024)
$SpikePack$: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
by: Shen, Guobin, et al.
Published: (2025)
by: Shen, Guobin, et al.
Published: (2025)
STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking
by: Shen, Sicheng, et al.
Published: (2025)
by: Shen, Sicheng, et al.
Published: (2025)
TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers
by: Shen, Sicheng, et al.
Published: (2026)
by: Shen, Sicheng, et al.
Published: (2026)
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction
by: Shen, Guobin, et al.
Published: (2024)
by: Shen, Guobin, et al.
Published: (2024)
Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks
by: Han, Bing, et al.
Published: (2022)
by: Han, Bing, et al.
Published: (2022)
Unleashing Temporal Capacity of Spiking Neural Networks through Spatiotemporal Separation
by: Dong, Yiting, et al.
Published: (2025)
by: Dong, Yiting, et al.
Published: (2025)
PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks
by: Dong, Yiting, et al.
Published: (2025)
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)
by: Xu, Zijie, et al.
Published: (2025)
Spatial-Temporal Search for Spiking Neural Networks
by: Che, Kaiwei, et al.
Published: (2024)
by: Che, Kaiwei, et al.
Published: (2024)
Stochastic Spiking Neural Networks with First-to-Spike Coding
by: Jiang, Yi, et al.
Published: (2024)
by: Jiang, Yi, et al.
Published: (2024)
Spatio-Temporal Decoupled Learning for Spiking Neural Networks
by: Ma, Chenxiang, et al.
Published: (2025)
by: Ma, Chenxiang, et al.
Published: (2025)
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks
by: Xu, Qi, et al.
Published: (2024)
by: Xu, Qi, et al.
Published: (2024)
Hybrid Temporal-8-Bit Spike Coding for Spiking Neural Network Surrogate Training
by: Nhan, Luu Trong, et al.
Published: (2025)
by: Nhan, Luu Trong, et al.
Published: (2025)
Evolutionary Spiking Neural Networks: A Survey
by: Shen, Shuaijie, et al.
Published: (2024)
by: Shen, Shuaijie, et al.
Published: (2024)
Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Convolutional Spiking Neural Network for Image Classification
by: Kiselev, Mikhail, et al.
Published: (2025)
by: Kiselev, Mikhail, et al.
Published: (2025)
A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks
by: Bai, Qianyi, et al.
Published: (2025)
by: Bai, Qianyi, et al.
Published: (2025)
Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
by: Che, Kaiwei, et al.
Published: (2024)
by: Che, Kaiwei, et al.
Published: (2024)
Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks
by: Moshruba, Ayana, et al.
Published: (2025)
by: Moshruba, Ayana, et al.
Published: (2025)
Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects
by: Ma, Chenxiang, et al.
Published: (2025)
by: Ma, Chenxiang, et al.
Published: (2025)
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
by: Baronig, Maximilian, et al.
Published: (2024)
by: Baronig, Maximilian, et al.
Published: (2024)
Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis
by: Zhou, Yunduo, et al.
Published: (2025)
by: Zhou, Yunduo, et al.
Published: (2025)
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks
by: Han, Bing, et al.
Published: (2023)
by: Han, Bing, et al.
Published: (2023)
Spiking Neural Networks: The Future of Brain-Inspired Computing
by: Aribe Jr, Sales G.
Published: (2025)
by: Aribe Jr, Sales G.
Published: (2025)
Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks
by: Pan, Wenxuan, et al.
Published: (2024)
by: Pan, Wenxuan, et al.
Published: (2024)
TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks
by: Malettira, Prajna G., et al.
Published: (2024)
by: Malettira, Prajna G., et al.
Published: (2024)
General Self-Prediction Enhancement for Spiking Neurons
by: Huang, Zihan, et al.
Published: (2026)
by: Huang, Zihan, et al.
Published: (2026)
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
by: Lv, Changze, et al.
Published: (2024)
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)
by: Liu, Qianhui, et al.
Published: (2025)
Expressivity of Spiking Neural Networks
by: Singh, Manjot, et al.
Published: (2023)
by: Singh, Manjot, et al.
Published: (2023)
Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning
by: Sun, Yinqian, et al.
Published: (2023)
by: Sun, Yinqian, et al.
Published: (2023)
The Role of Temporal Hierarchy in Spiking Neural Networks
by: Moro, Filippo, et al.
Published: (2024)
by: Moro, Filippo, et al.
Published: (2024)
Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning
by: Li, Yaxin, et al.
Published: (2024)
by: Li, Yaxin, et al.
Published: (2024)
Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains
by: Aguettaz, Hugo, et al.
Published: (2024)
by: Aguettaz, Hugo, et al.
Published: (2024)
Robust Stable Spiking Neural Networks
by: Ding, Jianhao, et al.
Published: (2024)
by: Ding, Jianhao, et al.
Published: (2024)
Similar Items
-
Biologically Inspired Spiking Diffusion Model with Adaptive Lateral Selection Mechanism
by: Feng, Linghao, et al.
Published: (2025) -
Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
by: Shen, Guobin, et al.
Published: (2023) -
TIM: An Efficient Temporal Interaction Module for Spiking Transformer
by: Shen, Sicheng, et al.
Published: (2024) -
$SpikePack$: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
by: Shen, Guobin, et al.
Published: (2025) -
STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking
by: Shen, Sicheng, et al.
Published: (2025)