SIMULATION OF CHARACTERISTICS AND ARTIFICIAL NEURAL-NETWORK MODELING OF ELECTROENCEPHALOGRAPH TIME-SERIES

Authors
KULKAMI DR PARIKH JC PRATAP R
Citation
Dr. Kulkami et al., SIMULATION OF CHARACTERISTICS AND ARTIFICIAL NEURAL-NETWORK MODELING OF ELECTROENCEPHALOGRAPH TIME-SERIES, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 55(4), 1997, pp. 4508-4511
Citations number
10
Categorie Soggetti
Physycs, Mathematical","Phsycs, Fluid & Plasmas
Journal title
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics → ACNP
ISSN journal
1063651X
Volume
55
Issue
4
Year of publication
1997
Pages
4508 - 4511
Database
ISI
SICI code
1063-651X(1997)55:4<4508:SOCAAN>2.0.ZU;2-1
Abstract
Electroencephalograph data of normal individuals viith their eyes clos ed is analyzed and modeled. The characteristics of the observed time s eries correspond to a filtered Gaussian random noise model modified wi th a suitable falloff in the power spectrum. An artificial neural, net work model produces an excellent fit to the relatively short time seri es data without any hidden neurons, implying that the underlying syste m is predominantly deterministic and linear.