A learning model for oscillatory networks-Reference-Cited by-同舟云学术

A learning model for oscillatory networks

Published:1998-03 Issue:2 Volume:11 Page:249-257
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Nishii Jun

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference24 articles.

1. Baxter, D.A., & Byrne, J.H. (1993). Learning rules from neurobiology. In D. Gardner (Ed.), The neurobiology of neural networks (pp. 70–105). Cambridge, MA: MIT Press.

2. Modeling of a neural pattern generator with coupled nonlinear oscillators;Bay;IEEE Transaction of Biomedical Engineering,1987

3. The nature of the coupling between segmental oscillators of the lamprey spinal generator for locomotion: a mathematical model;Cohen;Journal of Mathematical Biology,1982

4. Symmetry-breaking bifurcation: a possible mechanism for 2:1 frequency-locking in animal locomotion;Collins;Mathematical Biology,1992

5. Hexapodal gaits and coupled nonlinear oscillator models;Collins;Biological Cybernetics,1993

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A four-state adaptive Hopf oscillator;PLOS ONE;2021-03-25

2. Gait Regulation of a Bionic Quadruped Robot with Antiparallelogram Leg Based on CPG Oscillator;Complexity;2019-11-30

3. Designing higher fourier harmonics of Tegotae function using genetic algorithm—a case study with an earthworm locomotion;Bioinspiration & Biomimetics;2019-08-13

4. A backward control based on σ-Hopf oscillator with decoupled parameters for smooth locomotion of bio-inspired legged robot;Robotics and Autonomous Systems;2018-08

5. A Survey on CPG-Inspired Control Models and System Implementation;IEEE Transactions on Neural Networks and Learning Systems;2014-03