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
Understanding how neural systems work needs appropriate models. Here we propose a model that describes neural systems in terms of abstract communication systems. We indicate how to apply the proposed framework to the analysis of real neural systems.
Andras, P. (2005). Neural activity pattern systems. Neurocomputing, 65, 531-536. https://doi.org/10.1016/j.neucom.2004.10.041
Journal Article Type | Article |
---|---|
Online Publication Date | Dec 15, 2004 |
Publication Date | 2005-06 |
Deposit Date | Nov 4, 2021 |
Journal | Neurocomputing |
Print ISSN | 0925-2312 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 65 |
Pages | 531-536 |
DOI | https://doi.org/10.1016/j.neucom.2004.10.041 |
Keywords | Communication system, Neural network model, Neural systems, Pattern language |
Public URL | http://researchrepository.napier.ac.uk/Output/2808687 |
A review of privacy-preserving federated learning for the Internet-of-Things
(2021)
Book Chapter
Amnesia: Neuropsychological Interpretation and Artificial Neural Network Simulation
(1998)
Journal Article
Scalability analysis comparisons of cloud-based software services
(2019)
Journal Article
Environmental adversity and uncertainty favour cooperation
(2007)
Journal Article
High-dimensional function approximation with neural networks for large volumes of data
(2017)
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 © 2024
Advanced Search