BishtRef
Articles Journals Publishers Authors Subjects Most Cited New Papers Year Stats Open Access
journal article Nov 01, 2003

Simple model of spiking neurons

E.M. Izhikevich
IEEE Transactions on Neural Networks Vol. 14 No. 6 pp. 1569-1572 · Institute of Electrical and Electronics Engineers (IEEE)
View at Publisher Save 10.1109/tnn.2003.820440
Topics

No keywords indexed for this article. Browse by subject →

References
10
[5]
Hoppensteadt "Weakly Connected Neural Networks" (1997) 10.1007/978-1-4612-1828-9
[6]
Hoppensteadt "Canonical neural models" (2002)
Cited By
4,043
A next generation neural mass model with neuromodulation

Damien Depannemaecker, Chloé Duprat · 2026

Journal of Computational Neuroscien...
Hidden dynamics and FPGA-based hardware detection of memristive Rulkov neuron

Haodong Li, Fuhong Min · 2025

The European Physical Journal Speci...
Improving Izhikevich neuron models and analyzing dynamical behavior through Bayesian inference

Kai Jia, Xin Wang · 2025

The European Physical Journal Speci...
Firing behaviors of a magnetic field-sensitive neuron

Zhenhua Yu, Xinlin Song · 2025

The European Physical Journal Speci...
Suppression effect of electromagnetic induction on weak signal transmission in feedforward networks

Ying Xu, Fuqiang Wu · 2025

The European Physical Journal Speci...
Hyperchaos and complex dynamical regimes in N-dimensional neuron lattices

Brandon B. Le, Dima Watkins · 2025

The European Physical Journal Speci...
Dynamical effects of Josephson junction on three-neuron cyclic Hopfield neural network

Youwei Yan, Qiuyun Yuan · 2025

The European Physical Journal Speci...
A functional neuron with a linear membrane

Kailong Zhu, Ya Wang · 2025

The European Physical Journal Speci...
Modular architecture confers robustness to damage and facilitates recovery in spiking neural networks modeling in vitro neurons

Takuma Sumi, Akke Mats Houben · 2025

Frontiers in Neuroscience
A Review of Computing with Spiking Neural Networks

Jiadong Wu, Yinan Wang · 2024

Computers, Materials & Continua
The Lightweight Edge-Side Fault Diagnosis Approach Based on Spiking Neural Network

Jingting Mei, Yang Yang · 2024

Computers, Materials & Continua
Spiking neural networks for physiological and speech signals: a review

Sung Soo Park, Young-Seok Choi · 2024

Biomedical Engineering Letters
A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks

Yuchen Wang, Malu Zhang · 2024

Neural Networks
Contemporary implementations of spiking bio-inspired neural networks

Andrey Schegolev, Marina Bastrakova · 2024

Mesoscience & nanotechnology
A review on the complexities of brain activity: insights from nonlinear dynamics in neuroscience

D. Vignesh, Shaobo He · 2024

Nonlinear Dynamics
Linear leaky-integrate-and-fire neuron model based spiking neural networks and its mapping relationship to deep neural networks

Sijia Lu, Feng Xu · 2022

Frontiers in Neuroscience
Spiking Neural Networks and Their Applications: A Review

Kashu Yamazaki, Viet-Khoa Vo-Ho · 2022

Brain Sciences
Neuro-inspired electronic skin for robots

Fengyuan Liu, Sweety Deswal · 2022

Science Robotics
The dynamics of a memristor-based Rulkov neuron with fractional-order difference

Yan-Mei Lu, CHUN-HUA WANG · 2022

Chinese Physics B
Realizing Behavior Level Associative Memory Learning Through Three-Dimensional Memristor-Based Neuromorphic Circuits

Hongyu An, Qiyuan An · 2021

IEEE Transactions on Emerging Topic...
Metrics
4,043
Citations
10
References
Details
Published
Nov 01, 2003
Vol/Issue
14(6)
Pages
1569-1572
License
View
Authors
E
E.M. Izhikevich
Cite This Article
E.M. Izhikevich (2003). Simple model of spiking neurons. IEEE Transactions on Neural Networks, 14(6), 1569-1572. https://doi.org/10.1109/tnn.2003.820440
Related

You May Also Like

Reinforcement Learning: An Introduction

R.S. Sutton, A.G. Barto · 1998

8,390 citations

The Graph Neural Network Model

F. Scarselli, M. Gori · 2009

7,068 citations

Learning long-term dependencies with gradient descent is difficult

Y. Bengio, P. Simard · 1994

6,495 citations

Identification and control of dynamical systems using neural networks

K.S. Narendra, K. Parthasarathy · 1990

6,428 citations

Training feedforward networks with the Marquardt algorithm

M.T. Hagan, M.B. Menhaj · 1994

5,961 citations