The Dynamics of EEG Entropy
| dc.creator | Ignaccolo, M. | |
| dc.creator | Latka, M. | |
| dc.creator | Jernajczyk, W. | |
| dc.creator | Grigolini, P. | |
| dc.creator | West, B. J. | |
| dc.date | 2009-03-05 | |
| dc.date.accessioned | 2026-07-07T12:49:24Z | |
| dc.date.available | 2026-07-07T12:49:24Z | |
| dc.description | EEG time series are analyzed using the diffusion entropy method. The resulting EEG entropy manifests short-time scaling, asymptotic saturation and an attenuated alpha-rhythm modulation. These properties are faithfully modeled by a phenomenological Langevin equation interpreted within a neural network context. | |
| dc.identifier | https://arxiv.org/abs/0903.1078 | |
| dc.identifier | http://arxiv.org/abs/0903.1078 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/222391 | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.subject | Biological Physics | |
| dc.title | The Dynamics of EEG Entropy | |
| dc.type | text |