Imagen de Portada

CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Huang, Yulong, Lin, Xiaopeng, Ren, Hongwei, Fu, Haotian, Zhou, Yue, Liu, Zunchang, Pan, Biao, Cheng, Bojun
Formato:	Preprint
Publicado:	2024
Materias:	Neural and Evolutionary Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks
por: Huang, Yulong, et al.
Publicado: (2024)

A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network
por: Brand, Dean, et al.
Publicado: (2024)

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks
por: Zhang, Tianqing, et al.
Publicado: (2025)

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

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

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention
por: Huang, Yulong, et al.
Publicado: (2026)

On the Sampling Sparsity of Neuromorphic Analog-to-Spike Conversion based on Leaky Integrate-and-Fire
por: Moser, Bernhard A., et al.
Publicado: (2024)

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

SpikingMamba: Towards Energy-Efficient Large Language Models via Knowledge Distillation from Mamba
por: Huang, Yulong, et al.
Publicado: (2025)

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

Ternary Spiking Neural Networks Enhanced by Complemented Neurons and Membrane Potential Aggregation
por: Zhang, Boxuan, et al.
Publicado: (2026)

Adaptive Spiking Neurons for Vision and Language Modeling
por: Zhou, Chenlin, et al.
Publicado: (2026)

Ultra-Low-Power Spiking Neurons in 7 nm FinFET Technology: A Comparative Analysis of Leaky Integrate-and-Fire, Morris-Lecar, and Axon-Hillock Architectures
por: Larsh, Logan, et al.
Publicado: (2025)

TS-SNN: Temporal Shift Module for Spiking Neural Networks
por: Yu, Kairong, et al.
Publicado: (2025)

Robust Stable Spiking Neural Networks
por: Ding, Jianhao, et al.
Publicado: (2024)

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
por: Zhou, Chenlin, et al.
Publicado: (2024)

An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks
por: Ucpinar, Beyza Zeynep, et al.
Publicado: (2023)

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

Memory-Augmented Spiking Networks: Synergistic Integration of Complementary Mechanisms for Neuromorphic Vision
por: Blessing, Effiong, et al.
Publicado: (2026)

Learning Neuron Dynamics within Deep Spiking Neural Networks
por: Jahns, Eric, et al.
Publicado: (2025)

Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
por: Yin, Yujia, et al.
Publicado: (2024)

Synchronized Stepwise Control of Firing and Learning Thresholds in a Spiking Randomly Connected Neural Network toward Hardware Implementation
por: Nomura, Kumiko, et al.
Publicado: (2024)

Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
por: Cai, Wuque, et al.
Publicado: (2026)

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

Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks for Efficient Eye-based Emotion Recognition
por: Liu, Qianhui, et al.
Publicado: (2025)

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

Expressivity of Spiking Neural Networks
por: Singh, Manjot, et al.
Publicado: (2023)

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
por: Xue, Peng, et al.
Publicado: (2025)

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

General Self-Prediction Enhancement for Spiking Neurons
por: Huang, Zihan, et al.
Publicado: (2026)

Multi-Neuron Representations of Hierarchical Concepts in Spiking Neural Networks
por: Lynch, Nancy A.
Publicado: (2024)

On Leaky-Integrate-and Fire as Spike-Train-Quantization Operator on Dirac-Superimposed Continuous-Time Signals
por: Moser, Bernhard A., et al.
Publicado: (2024)

Improving Low-Latency Learning Performance in Spiking Neural Networks via a Change-Perceptive Dendrite-Soma-Axon Neuron
por: Huang, Zeyu, et al.
Publicado: (2025)

A Ferroelectric Tunnel Junction-based Integrate-and-Fire Neuron
por: Gibertini, Paolo, et al.
Publicado: (2022)

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding
por: Ferdaoussi, Ahmad El, et al.
Publicado: (2024)

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network
por: Wang, Ziqing, et al.
Publicado: (2024)

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

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

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

Balanced Resonate-and-Fire Neurons
por: Higuchi, Saya, et al.
Publicado: (2024)