Complex spatio-temporal features in meg data.
Mathematical biosciences and engineering : MBE October 1, 2006 Francesca Sapuppo, Elena Umana, Mattia Frasca et al.
Magnetoencephalography (MEG) brain signals are studied using a method for characterizing complex nonlinear dynamics. This approach uses the value of d(infinity) (d-infinite) to characterize the system's asymptotic chaotic behavior. A novel procedure has been developed to extract this parameter from time series when the system's structure and laws are unknown. The implementation of the algorithm...