On-line characterization of transient neuronal activity
EntityUAM. Departamento de Ingeniería Informática
CitationInternational Journal Complex Systems in Science 1.2 (2011): 146-151
Funded byThis work was supported by MICINN BFU2009-08473 and TIN-2010-19607.
SubjectsTime series; Order patterns; Event characterization; Entropy; Time-frequency representation; Informática
NotePaper 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, 2011
Rights© The author/s
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.
Google Scholar:Arroyo, David - Chamorro, Pablo - Amigó, José María - Rodríguez Ortiz, Francisco Borja - Varona Martínez, Pablo
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