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
There is some experimental evidence that the neural information processing in some small neural systems with complex behaviour (e.g., olfactory bulb, crab stomatogastric ganglion) can be best described in terms of activity patterns. Recently the pattern languages were proposed as an interpretation and analysis tool for such complex systems. Here we describe a model that shows how spatio-temporal neural activity patterns can perform abstract computation. We show how such activity patterns can be interpreted as a language of the neural system, and how neural information processing may be done in terms of pattern languages.
András, P. (2003, July). Understanding neural computation in terms of pattern languages. Presented at International Joint Conference on Neural Networks, Portland, OR, USA
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | International Joint Conference on Neural Networks |
Start Date | Jul 20, 2003 |
End Date | Jul 24, 2003 |
Online Publication Date | Aug 26, 2003 |
Publication Date | 2003 |
Deposit Date | Nov 22, 2021 |
Publisher | Institute of Electrical and Electronics Engineers |
Volume | 2 |
Pages | 1385-1390 |
Series ISSN | 1098-7576 |
Book Title | Proceedings of the International Joint Conference on Neural Networks, 2003 |
ISBN | 0-7803-7898-9 |
Keywords | neural computation, pattern languages, neural information processing, spatio-temporal neural activity patterns |
Public URL | http://researchrepository.napier.ac.uk/Output/2809150 |
Federated Learning for Short-term Residential Load Forecasting
(2022)
Journal Article
Compounding barriers to fairness in the digital technology ecosystem
(2021)
Presentation / Conference Contribution
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