INVESTIGADORES
ROSSO Osvaldo Anibal
artículos
Título:
Brain electrical activity analysis using wavelet-based informational tools (II): Tsallis non-extensivity and complexity measures
Autor/es:
O. A. ROSSO; M. T. MARTIN; A. PLASTINO
Revista:
PHYSICA A - STATISTICAL AND THEORETICAL PHYSICS
Editorial:
Elesvier Science
Referencias:
Año: 2003 vol. 320 p. 497 - 511
ISSN:
0378-4371
Resumen:
The processing of information by the brain is re2ected in dynamical changes of the electrical activity in (i) time, (ii) frequency, and (iii) space. Therefore, the concomitant studies require methods capable of describing the qualitative variation of the signal in both time and frequency. The present work complements the e5orts described in Rosso et al. (Physica A 313 (2002) 587), devoted to non-extensive information measures 7a la Tsallis. Here we show that the notion of complexity, using (1) appropriate information-theory tools (adapted to a non-extensive scenario) and (2) scalp EEG data, provides one with valuable insights into the dynamics of neural activity. In particular, using di5erent complexity measures we detect the presence of states characterized by both order and maximal complexity.complexity, using (1) appropriate information-theory tools (adapted to a non-extensive scenario) and (2) scalp EEG data, provides one with valuable insights into the dynamics of neural activity. In particular, using di5erent complexity measures we detect the presence of states characterized by both order and maximal complexity.