The use of wavelet analysis and the mixture model to study phase-locking related to task-set reconfiguration

Abstract

Abstract Wavelet analysis provides information on the time course of the phase and amplitude of oscillations in non-stationary signals. The results of wavelet analysis are equivalent to those of the faster method of complex demodulation. We combined this method with the mixture model to identify differences in the time course of synchrony between brain areas during task-set reconfiguration. The mixture model provides a trial-by-trial likelihood of intention activation , that is, of subjectdriven reconfiguration prior to stimulus presentation. This allows prepared and nonprepared conditions to be distinguished within the switch condition, identical in every way except for the odds of preparation. Preliminary results could not, due to equipment failures, be reliably interpreted, but did indicate that this combined approach may provide interesting results in the future

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