Image de couverture de livre

A More Accurate Approximation of Activation Function with Few Spikes Neurons

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jeong, Dayena, Park, Jaewoo, Jo, Jeonghee, Park, Jongkil, Kim, Jaewook, Jang, Hyun Jae, Lee, Suyoun, Park, Seongsik
Format:	Preprint
Publié:	2024
Sujets:	Neural and Evolutionary Computing Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration
par: Lee, Jae Hyeok, et autres
Publié: (2025)

BayesNAM: Leveraging Inconsistency for Reliable Explanations
par: Kim, Hoki, et autres
Publié: (2024)

Accurate Mapping of RNNs on Neuromorphic Hardware with Adaptive Spiking Neurons
par: Boeshertz, Gauthier, et autres
Publié: (2024)

General Self-Prediction Enhancement for Spiking Neurons
par: Huang, Zihan, et autres
Publié: (2026)

Adaptive Spiking Neurons for Vision and Language Modeling
par: Zhou, Chenlin, et autres
Publié: (2026)

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding
par: Ferdaoussi, Ahmad El, et autres
Publié: (2024)

Generative Evolutionary Strategy For Black-Box Optimizations
par: Park, Changhwi
Publié: (2022)

Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
par: Yin, Yujia, et autres
Publié: (2024)

Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems
par: Sobhanan, Abhay, et autres
Publié: (2023)

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
par: Xue, Peng, et autres
Publié: (2025)

TMN: A Lightweight Neuron Model for Efficient Nonlinear Spike Representation
par: Gu, Yiwen, et autres
Publié: (2024)

CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
par: Huang, Yulong, et autres
Publié: (2024)

Stabilizing Spiking Neuron Training
par: Herranz-Celotti, Luca, et autres
Publié: (2022)

Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate Gradient
par: Kook, Hyunho, et autres
Publié: (2025)

FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping
par: Choi, Jongmin, et autres
Publié: (2026)

Ternary Spiking Neural Networks Enhanced by Complemented Neurons and Membrane Potential Aggregation
par: Zhang, Boxuan, et autres
Publié: (2026)

Spiking World Model with Multi-Compartment Neurons for Model-based Reinforcement Learning
par: Sun, Yinqian, et autres
Publié: (2025)

Biologically Inspired Oscillating Activation Functions Can Bridge the Performance Gap between Biological and Artificial Neurons
par: Noel, Matthew Mithra, et autres
Publié: (2021)

PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing
par: Chen, Xinyi, et autres
Publié: (2024)

PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks
par: Huang, Yulong, et autres
Publié: (2024)

Spiking Transformer with Spatial-Temporal Attention
par: Lee, Donghyun, et autres
Publié: (2024)

TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling
par: Zhang, Shimin, et autres
Publié: (2023)

An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks
par: Ucpinar, Beyza Zeynep, et autres
Publié: (2023)

Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks
par: Zhang, Hangming, et autres
Publié: (2024)

SpikePool: Event-driven Spiking Transformer with Pooling Attention
par: Lee, Donghyun, et autres
Publié: (2025)

A Practical Guide to Tuning Spiking Neuronal Dynamics
par: Gebhardt, William, et autres
Publié: (2025)

Generating Diverse Challenging Terrains for Legged Robots Using Quality-Diversity Algorithm
par: Esquerre-Pourtère, Arthur, et autres
Publié: (2025)

Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees
par: Chen, Jiechen, et autres
Publié: (2023)

D-Score: A Synapse-Inspired Approach for Filter Pruning
par: Park, Doyoung, et autres
Publié: (2023)

Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning
par: Ma, Zeyuan, et autres
Publié: (2025)

MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network
par: Lee, Donghyun, et autres
Publié: (2025)

Learning Neuron Dynamics within Deep Spiking Neural Networks
par: Jahns, Eric, et autres
Publié: (2025)

A 1.6-fJ/Spike Subthreshold Analog Spiking Neuron in 28 nm CMOS
par: Besrour, Marwan, et autres
Publié: (2024)

Hardware-Software Co-optimised Fast and Accurate Deep Reconfigurable Spiking Inference Accelerator Architecture Design Methodology
par: Nimbekar, Anagha, et autres
Publié: (2024)

Improving Low-Latency Learning Performance in Spiking Neural Networks via a Change-Perceptive Dendrite-Soma-Axon Neuron
par: Huang, Zeyu, et autres
Publié: (2025)

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

TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
par: Lee, Donghyun, et autres
Publié: (2024)

Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
par: Cai, Wuque, et autres
Publié: (2026)

From LIF to QIF: Toward Differentiable Spiking Neurons for Scientific Machine Learning
par: Wan, Ruyin, et autres
Publié: (2025)

Stochastic Spiking Neural Networks with First-to-Spike Coding
par: Jiang, Yi, et autres
Publié: (2024)