Responsable: José León Carrión
Tipo de Proyecto/Ayuda: 5º Programa Marco de la U.E.
Referencia: IST-2001-34893
Web: http://cordis.europa.eu/projects/rcn/62748_en.html
Fecha de Inicio: 01-05-2002
Fecha de Finalización: 30-04-2005

Empresa/Organismo financiador/es:

• Commission of the European Communities

Socios:

• Universidad Complutense de Madrid (Fivos Panetsos)
• Ecole Polytechnique Federale de Lausanne (aaa)
• Karolinska Institute (aaa)

Becarios:

• Nombramiento de Becario:
  • Jesús Damas López

Resumen del proyecto:

The APEREST work plan consists of five Work packages, three scientific, one for the management, and one for the dissemination of the results. The first scientific Workpackage is devoted to: the analysis of available experimental data in order to determine the level of applicability of the approximate chaos synchronisation theory on stimuli representation at microscopic level; to the experimental verification of the previous conclusions and to the generation of experimental data for the second Work package and for determining the effects of breaking of the periodicity and/or synchronisation of the neural activity. The second scientific Work package is dedicated to simplify the already available chaos-based signal classification algorithm and to remove its restriction to approximately periodic signals, both these taking (biological) inspiration from the results of the Work package 1. Nonetheless, the developed algorithms will not necessary imitate their biological counterpart but will rather be an implementation of them which are suitable for engineering applications.

The third scientific Work package is dedicated to:

• understand if the chaos-based classification method developed by the Work package 2 can be applied to EEG signals;
• to evaluate the chaos-based classification as a way to map cortical activity in terms of functionally interacting regions and to determine if synchronicity between cortical neuronal networks with chaotic behaviour depends on cortico-cortical connections;
• to compare the results obtained with he chaos-based classification method with those obtained with EEG linear (coherence) analysis.