Multifunctionality in a reservoir computer
From MaRDI portal
Publication:4983664
DOI10.1063/5.0019974zbMath1458.92006arXiv2008.06348OpenAlexW3049365137MaRDI QIDQ4983664
Andrew Flynn, Andreas Amann, Vassilios A. Tsachouridis
Publication date: 26 April 2021
Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2008.06348
Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20) Computational methods for problems pertaining to biology (92-08)
Related Items (1)
Uses Software
Cites Work
- Reservoir computing approaches to recurrent neural network training
- Control of multistability
- Chaotic attractors in delayed neural networks
- Controlling chaotic systems with multiple strange attractors
- An experimental unification of reservoir computing methods
- Analysis of a new three-dimensional system with multiple chaotic attractors
- DEVELOPMENT OF THERAPEUTIC BRAIN STIMULATION TECHNIQUES WITH METHODS FROM NONLINEAR DYNAMICS AND STATISTICAL PHYSICS
- Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
- Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data
- Deterministic Nonperiodic Flow
This page was built for publication: Multifunctionality in a reservoir computer