On-line characterization of transient neuronal activity
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
IJCSSDate
2011-10-01Citation
International Journal Complex Systems in Science 1.2 (2011): 146-151ISSN
2174-6036Funded by
This work was supported by MICINN BFU2009-08473 and TIN-2010-19607.Editor's Version
http://www.ij-css.org/volume-01_02/ijcss01_02-146.pdfSubjects
Time series; Order patterns; Event characterization; Entropy; Time-frequency representation; InformáticaNote
Paper presented firstly in a poster at the IV International Conference Net-Works 2011 Complex Networks: Structure, Applications and Related Topics, held in El Escorial (Spain) on October 26th-28th, 2011Rights
© The author/sAbstract
Characterization and control of nonlinear and non-stationary pro-
cesses is an active topic in the field of the applied theory of dynamical systems.
In this context classical control techniques cannot be applied straightforward, and
thus observation and actuation should be properly incorporated into a real-time
feedback (or closed-loop) methodology. One of the possible application scenarios
of this methodology is depicted by neural activity. In this work we analyze the
problem related to the first component of the real-time closed-loop technology for
the case of neural activity. This being the case, be discuss different methods to
classify dynamics and to detect events in a automatic and fast way.
Files in this item
Google Scholar:Arroyo, David
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Chamorro, Pablo
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Amigó, José María
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Rodríguez Ortiz, Francisco Borja
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Varona Martínez, Pablo
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