CogniSNN: Enabling Neuron-Expandability, Pathway-Reusability, and Dynamic-Configurability with Random Graph Architectures in Spiking Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Yongsheng, Duan, Peibo, Wu, Yujie, Sun, Kai, Liu, Zhipeng, Zhang, Changsheng, Zhang, Bin, Xu, Mingkun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
by: Huang, Yongsheng, et al.
Published: (2025)
by: Huang, Yongsheng, et al.
Published: (2025)
MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks
by: Huang, Yongsheng, et al.
Published: (2026)
by: Huang, Yongsheng, et al.
Published: (2026)
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks
by: Sun, Kai, et al.
Published: (2025)
by: Sun, Kai, et al.
Published: (2025)
Optimal ANN-SNN Conversion with Group Neurons
by: Lv, Liuzhenghao, et al.
Published: (2024)
by: Lv, Liuzhenghao, et al.
Published: (2024)
ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network
by: Xu, Shang, et al.
Published: (2025)
by: Xu, Shang, et al.
Published: (2025)
TS-SNN: Temporal Shift Module for Spiking Neural Networks
by: Yu, Kairong, et al.
Published: (2025)
by: Yu, Kairong, et al.
Published: (2025)
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
by: Lee, Donghyun, et al.
Published: (2024)
by: Lee, Donghyun, et al.
Published: (2024)
MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network
by: Lee, Donghyun, et al.
Published: (2025)
by: Lee, Donghyun, et al.
Published: (2025)
PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing
by: Chen, Xinyi, et al.
Published: (2024)
by: Chen, Xinyi, et al.
Published: (2024)
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization
by: Liu, Qianhui, et al.
Published: (2024)
by: Liu, Qianhui, et al.
Published: (2024)
Ternary Spiking Neural Networks Enhanced by Complemented Neurons and Membrane Potential Aggregation
by: Zhang, Boxuan, et al.
Published: (2026)
by: Zhang, Boxuan, et al.
Published: (2026)
One-Timestep is Enough: Achieving High-performance ANN-to-SNN Conversion via Scale-and-Fire Neurons
by: Chen, Qiuyang, et al.
Published: (2025)
by: Chen, Qiuyang, et al.
Published: (2025)
General Self-Prediction Enhancement for Spiking Neurons
by: Huang, Zihan, et al.
Published: (2026)
by: Huang, Zihan, et al.
Published: (2026)
Adaptive Spiking Neurons for Vision and Language Modeling
by: Zhou, Chenlin, et al.
Published: (2026)
by: Zhou, Chenlin, et al.
Published: (2026)
LightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural Networks
by: Abdennadher, Yesmine, et al.
Published: (2025)
by: Abdennadher, Yesmine, et al.
Published: (2025)
A Multiplication-Free Spike-Time Learning Algorithm and its Efficient FPGA Implementation for On-Chip SNN Training
by: Mirsadeghi, Maryam, et al.
Published: (2026)
by: Mirsadeghi, Maryam, et al.
Published: (2026)
One-Spike SNN: Single-Spike Phase Coding with Base Manipulation for ANN-to-SNN Conversion Loss Minimization
by: Hwang, Sangwoo, et al.
Published: (2024)
by: Hwang, Sangwoo, et al.
Published: (2024)
Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding
by: Ferdaoussi, Ahmad El, et al.
Published: (2024)
by: Ferdaoussi, Ahmad El, et al.
Published: (2024)
Stochastic Spiking Neuron Based SNN Can be Inherently Bayesian
by: Zheng, Huannan, et al.
Published: (2026)
by: Zheng, Huannan, et al.
Published: (2026)
Spiking Neural Networks with Random Network Architecture
by: Dai, Zihan, et al.
Published: (2025)
by: Dai, Zihan, et al.
Published: (2025)
NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification
by: Zhang, Chuhan, et al.
Published: (2023)
by: Zhang, Chuhan, et al.
Published: (2023)
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
by: Yin, Yujia, et al.
Published: (2024)
by: Yin, Yujia, et al.
Published: (2024)
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling
by: Zhang, Shimin, et al.
Published: (2023)
by: Zhang, Shimin, et al.
Published: (2023)
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
by: You, Kang, et al.
Published: (2024)
by: You, Kang, et al.
Published: (2024)
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
by: Chakraborty, Biswadeep, et al.
Published: (2024)
by: Chakraborty, Biswadeep, et al.
Published: (2024)
Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks
by: Yin, Huifeng, et al.
Published: (2024)
by: Yin, Huifeng, et al.
Published: (2024)
Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
by: Xue, Peng, et al.
Published: (2025)
by: Xue, Peng, et al.
Published: (2025)
TMN: A Lightweight Neuron Model for Efficient Nonlinear Spike Representation
by: Gu, Yiwen, et al.
Published: (2024)
by: Gu, Yiwen, et al.
Published: (2024)
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
by: Huang, Yulong, et al.
Published: (2024)
by: Huang, Yulong, et al.
Published: (2024)
Stabilizing Spiking Neuron Training
by: Herranz-Celotti, Luca, et al.
Published: (2022)
by: Herranz-Celotti, Luca, et al.
Published: (2022)
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies
by: Xu, Mingkun, et al.
Published: (2024)
by: Xu, Mingkun, et al.
Published: (2024)
Efficient ANN-SNN Conversion with Error Compensation Learning
by: Liu, Chang, et al.
Published: (2025)
by: Liu, Chang, et al.
Published: (2025)
FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping
by: Choi, Jongmin, et al.
Published: (2026)
by: Choi, Jongmin, et al.
Published: (2026)
Spiking World Model with Multi-Compartment Neurons for Model-based Reinforcement Learning
by: Sun, Yinqian, et al.
Published: (2025)
by: Sun, Yinqian, 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)
by: Zhang, Hangming, et al.
Published: (2024)
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
by: Wang, Xiaoting, et al.
Published: (2023)
by: Wang, Xiaoting, et al.
Published: (2023)
PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation
by: Ramesh, Pranav, et al.
Published: (2025)
by: Ramesh, Pranav, et al.
Published: (2025)
An Asynchronous Multi-core Accelerator for SNN inference
by: Chen, Zhuo, et al.
Published: (2024)
by: Chen, Zhuo, et al.
Published: (2024)
PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks
by: Huang, Yulong, et al.
Published: (2024)
by: Huang, Yulong, et al.
Published: (2024)
Composing Recurrent Spiking Neural Networks using Locally-Recurrent Motifs and Risk-Mitigating Architectural Optimization
by: Zhang, Wenrui, et al.
Published: (2021)
by: Zhang, Wenrui, et al.
Published: (2021)
Similar Items
-
CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
by: Huang, Yongsheng, et al.
Published: (2025) -
MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks
by: Huang, Yongsheng, et al.
Published: (2026) -
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks
by: Sun, Kai, et al.
Published: (2025) -
Optimal ANN-SNN Conversion with Group Neurons
by: Lv, Liuzhenghao, et al.
Published: (2024) -
ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network
by: Xu, Shang, et al.
Published: (2025)