Brain electrical activity in epilepsy: Characterization of the spatio-temporal dynamics with Cellular Neural Networks based on a correlation dimension analysis
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Beitragende
Abstract
In this paper we present a new approach for the analysis of the spatio-temporal dynamics of brain electrical activity in epilepsy with Cellular Neural Networks (CNN). We have shown in recent investigations that the dimension D*2 (k, m) of brain electrical activity can be approximated by a function of CNN cell outputs. These results obtained with CNN, having non steady-states, were sensitive to parameter deviations occurring in CNN hardware realizations. In this contribution we present an enhanced approximation method, which is based on a steady state determination showing an increased robustness and higher accuracy.
Details
Originalsprache | Englisch |
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Titel | 2000 IEEE International Symposium on Circuits and Systems (ISCAS) |
Erscheinungsort | Geneva |
Herausgeber (Verlag) | IEEE Xplore |
Seiten | 389-392 |
ISBN (Print) | 0-7803-5482-6 |
Publikationsstatus | Veröffentlicht - 2000 |
Peer-Review-Status | Ja |
Extern publiziert | Ja |
Publikationsreihe
Reihe | IEEE International Symposium on Circuits and Systems (ISCAS) |
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ISSN | 0271-4302 |
Konferenz
Titel | Proceedings of the IEEE 2000 International Symposium on Circuits and Systems, ISCAS 2000 |
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Dauer | 28 - 31 Mai 2000 |
Stadt | Geneva, Switz |
Land | Schweiz |
Externe IDs
ORCID | /0000-0001-7436-0103/work/142240387 |
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