Cover Image

Hybrid Temporal-8-Bit Spike Coding for Spiking Neural Network Surrogate Training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nhan, Luu Trong, Duong, Luu Trung, Nam, Pham Ngoc, Thang, Truong Cong
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Direct-to-Event Spiking Neural Network Transfer
by: Luu, Nhan Trong, et al.
Published: (2026)

Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail
by: Nhan, Luu Trong, et al.
Published: (2025)

Hybrid Layer-Wise ANN-SNN With Surrogate Spike Encoding-Decoding Structure
by: Luu, Nhan T., et al.
Published: (2025)

Improvement of Spiking Neural Network with Bit Planes and Color Models
by: Luu, Nhan T., et al.
Published: (2024)

Parameter efficient hybrid spiking-quantum convolutional neural network with surrogate gradient and quantum data-reupload
by: Nhan, Luu Trong, et al.
Published: (2025)

Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient
by: Li, Yang, et al.
Published: (2024)

Learning with Spike Synchrony in Spiking Neural Networks
by: Tian, Yuchen, et al.
Published: (2025)

Synchrony-Gated Plasticity with Dopamine Modulation for Spiking Neural Networks
by: Tian, Yuchen, et al.
Published: (2025)

SpikingGamma: Surrogate-Gradient Free and Temporally Precise Online Training of Spiking Neural Networks with Smoothed Delays
by: Koopman, Roel, et al.
Published: (2026)

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

Sharpness Aware Surrogate Training for Spiking Neural Networks
by: Nicholson, Maximilian
Published: (2026)

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

Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
by: Yu, Ziqiao, et al.
Published: (2025)

A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
by: Chen, Xinyi, et al.
Published: (2023)

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

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

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

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

Spatio-Temporal Decoupled Learning for Spiking Neural Networks
by: Ma, Chenxiang, et al.
Published: (2025)

Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural Networks
by: Morrill, Todd, et al.
Published: (2026)

Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding
by: He, Huaxu
Published: (2024)

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

Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks
by: Saiin, Ryuji, et al.
Published: (2023)

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)

Fine-Tuning Surrogate Gradient Learning for Optimal Hardware Performance in Spiking Neural Networks
by: Aliyev, Ilkin, et al.
Published: (2024)

Expressivity of Spiking Neural Networks
by: Singh, Manjot, et al.
Published: (2023)

Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks
by: Hua, Yuan, et al.
Published: (2025)

Full Integer Arithmetic Online Training for Spiking Neural Networks
by: Gomez, Ismael, et al.
Published: (2025)

Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
by: Ma, Chenxiang, et al.
Published: (2025)

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

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

Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
by: Baronig, Maximilian, et al.
Published: (2024)

TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
by: Lee, Donghyun, et al.
Published: (2024)

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

The Role of Temporal Hierarchy in Spiking Neural Networks
by: Moro, Filippo, et al.
Published: (2024)

Sharpness-Aware Surrogate Training for On-Sensor Spiking Neural Networks
by: Nicholson, Maximilian
Published: (2026)

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

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

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

TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks
by: Malettira, Prajna G., et al.
Published: (2024)