Prof Peter Andras P.Andras@napier.ac.uk
Dean of School of Computing Engineering and the Built Environment
Prof Peter Andras P.Andras@napier.ac.uk
Dean of School of Computing Engineering and the Built Environment
Samantha Lycett
One hypothesis about how biological neural systems work suggests that they use attractor dynamics to define their behaviour. Such behaviour can be modelled using recurrent neural network models. It has been shown that such systems can perform a wide range of computational tasks by learning abstract grammars. Here we show that chaotic neural dynamics in recurrent neural systems is advantageous in the sense that it facilitates the encoding of grammars describing complex behaviour. This result may explain why it is common the observation of chaotic dynamics in biological neural systems.
Andras, P., & Lycett, S. (2007, August). An advantage of chaotic neural dynamics. Presented at 2007 International Joint Conference on Neural Networks, Orlando, FL, USA
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2007 International Joint Conference on Neural Networks |
Start Date | Aug 12, 2007 |
End Date | Aug 17, 2007 |
Online Publication Date | Oct 29, 2007 |
Publication Date | 2007 |
Deposit Date | Nov 18, 2021 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1417-1422 |
Series ISSN | 2161-4393 |
Book Title | 2007 International Joint Conference on Neural Networks |
ISBN | 978-1-4244-1379-9 |
DOI | https://doi.org/10.1109/IJCNN.2007.4371166 |
Keywords | Chaos, Neurons, Chaotic communication, Recurrent neural networks, Biological system modeling, State-space methods, Biological information theory, Encoding, Computer networks, Neural networks |
Public URL | http://researchrepository.napier.ac.uk/Output/2809184 |
Structural Complexity and Performance of Support Vector Machines
(2022)
Presentation / Conference Contribution
Federated Learning for Short-term Residential Load Forecasting
(2022)
Journal Article
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search