Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Zihao, Li, Yuanchun, Chen, Jiayu, Zhou, Peng, Chen, Xiang, Liu, Yunxin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Artificial Kuramoto Oscillatory Neurons
by: Miyato, Takeru, et al.
Published: (2024)
by: Miyato, Takeru, et al.
Published: (2024)
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
by: Chen, Chao, et al.
Published: (2024)
by: Chen, Chao, et al.
Published: (2024)
Neuronal Fluctuations: Learning Rates vs Participating Neurons
by: Pareek, Darsh, et al.
Published: (2025)
by: Pareek, Darsh, et al.
Published: (2025)
WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference
by: Chen, Sihan, et al.
Published: (2025)
by: Chen, Sihan, et al.
Published: (2025)
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks
by: Fan, Feng-Lei, et al.
Published: (2024)
by: Fan, Feng-Lei, et al.
Published: (2024)
Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors
by: Li, Zexi, et al.
Published: (2024)
by: Li, Zexi, et al.
Published: (2024)
SAFR: Neuron Redistribution for Interpretability
by: Chang, Ruidi, et al.
Published: (2025)
by: Chang, Ruidi, et al.
Published: (2025)
SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots
by: Zhang, Chuhan, et al.
Published: (2025)
by: Zhang, Chuhan, et al.
Published: (2025)
NeuronScope: A Multi-Agent Framework for Explaining Polysemantic Neurons in Language Models
by: Liu, Weiqi, et al.
Published: (2026)
by: Liu, Weiqi, et al.
Published: (2026)
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning
by: Ni, Yang, et al.
Published: (2024)
by: Ni, Yang, et al.
Published: (2024)
CHNNet: An Artificial Neural Network With Connected Hidden Neurons
by: Shahir, Rafiad Sadat, et al.
Published: (2023)
by: Shahir, Rafiad Sadat, et al.
Published: (2023)
SafeNeuron: Neuron-Level Safety Alignment for Large Language Models
by: Wang, Zhaoxin, et al.
Published: (2026)
by: Wang, Zhaoxin, et al.
Published: (2026)
DynaMo: Runtime Switchable Quantization for MoE with Cross-Dataset Adaptation
by: Zheng, Zihao, et al.
Published: (2025)
by: Zheng, Zihao, et al.
Published: (2025)
NeuronSeek: On Stability and Expressivity of Task-driven Neurons
by: Pei, Hanyu, et al.
Published: (2025)
by: Pei, Hanyu, et al.
Published: (2025)
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks
by: Plebe, Alice, et al.
Published: (2020)
by: Plebe, Alice, et al.
Published: (2020)
Brain-Inspired Exploration of Functional Networks and Key Neurons in Large Language Models
by: Liu, Yiheng, et al.
Published: (2025)
by: Liu, Yiheng, et al.
Published: (2025)
Neuron Patching: Semantic-based Neuron-level Language Model Repair for Code Generation
by: Gu, Jian, et al.
Published: (2023)
by: Gu, Jian, et al.
Published: (2023)
Variational Distributional Neuron
by: Ruffenach, Yves
Published: (2026)
by: Ruffenach, Yves
Published: (2026)
Expand Neurons, Not Parameters
by: Kong, Linghao, et al.
Published: (2025)
by: Kong, Linghao, et al.
Published: (2025)
Forecasting Whole-Brain Neuronal Activity from Volumetric Video
by: Immer, Alexander, et al.
Published: (2025)
by: Immer, Alexander, et al.
Published: (2025)
NeuronTune: Fine-Grained Neuron Modulation for Balanced Safety-Utility Alignment in LLMs
by: Pan, Birong, et al.
Published: (2025)
by: Pan, Birong, et al.
Published: (2025)
Shapley Neuron Values for Continual Learning: Which Neurons Matter Most?
by: Vahedifar, Mohammad Ali, et al.
Published: (2026)
by: Vahedifar, Mohammad Ali, et al.
Published: (2026)
Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks
by: Wang, Jiachuan, et al.
Published: (2023)
by: Wang, Jiachuan, et al.
Published: (2023)
Tackling Polysemanticity with Neuron Embeddings
by: Foote, Alex
Published: (2024)
by: Foote, Alex
Published: (2024)
Simple Linear Neuron Boosting
by: Munoz, Daniel
Published: (2025)
by: Munoz, Daniel
Published: (2025)
NeuronTune: Towards Self-Guided Spurious Bias Mitigation
by: Zheng, Guangtao, et al.
Published: (2025)
by: Zheng, Guangtao, et al.
Published: (2025)
Bio-Inspired Adaptive Neurons for Dynamic Weighting in Artificial Neural Networks
by: Islam, Ashhadul, et al.
Published: (2024)
by: Islam, Ashhadul, et al.
Published: (2024)
Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients
by: Zhou, Feifan, et al.
Published: (2026)
by: Zhou, Feifan, et al.
Published: (2026)
Learnable Privacy Neurons Localization in Language Models
by: Chen, Ruizhe, et al.
Published: (2024)
by: Chen, Ruizhe, et al.
Published: (2024)
Beyond Weighted Summation: Learnable Nonlinear Aggregation Functions for Robust Artificial Neurons
by: Bozyigit, Berke Deniz
Published: (2026)
by: Bozyigit, Berke Deniz
Published: (2026)
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
by: Liu, Yibing, et al.
Published: (2023)
by: Liu, Yibing, et al.
Published: (2023)
FedHQ: Hybrid Runtime Quantization for Federated Learning
by: Zheng, Zihao, et al.
Published: (2025)
by: Zheng, Zihao, et al.
Published: (2025)
Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling
by: Zhang, Dehao, et al.
Published: (2025)
by: Zhang, Dehao, et al.
Published: (2025)
Neuralink: Fast LLM Inference on Smartphones with Neuron Co-Activation Linking
by: Wang, Tuowei, et al.
Published: (2024)
by: Wang, Tuowei, et al.
Published: (2024)
ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization
by: Tang, Kaiwen, et al.
Published: (2026)
by: Tang, Kaiwen, et al.
Published: (2026)
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons
by: Dufort-Labbé, Simon, et al.
Published: (2024)
by: Dufort-Labbé, Simon, et al.
Published: (2024)
Exploring the Dimensions of a Variational Neuron
by: Ruffenach, Yves
Published: (2026)
by: Ruffenach, Yves
Published: (2026)
Variational Neurons in Transformers for Language Modeling
by: Ruffenach, Yves
Published: (2026)
by: Ruffenach, Yves
Published: (2026)
LLM Advertisement based on Neuron Auctions
by: Yun, Peiran, et al.
Published: (2026)
by: Yun, Peiran, et al.
Published: (2026)
Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution
by: Haider, Muhammad Umair, et al.
Published: (2025)
by: Haider, Muhammad Umair, et al.
Published: (2025)
Similar Items
-
Artificial Kuramoto Oscillatory Neurons
by: Miyato, Takeru, et al.
Published: (2024) -
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
by: Chen, Chao, et al.
Published: (2024) -
Neuronal Fluctuations: Learning Rates vs Participating Neurons
by: Pareek, Darsh, et al.
Published: (2025) -
WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference
by: Chen, Sihan, et al.
Published: (2025) -
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks
by: Fan, Feng-Lei, et al.
Published: (2024)