quantitative and qualitative facets of the human auditory information processing have been studied with the help of the indirect measurements of brain activities such as electroencephalography (EEG) and magnetoencephalography (MEG). In particular, the analysis of the auditory evoked potential (AEP), obtained from ongoing EEG/MEG signals, has been considered as a standard method to understand the dynamics of the process. Due to the nonlinearities in the auditory cortical neurons, however, there exist difficulties in interpreting relevant information as to the intrinsic properties of the network, obtained from the event-related potential (ERP) via conventional linear methods, i.e., calculation of the maximum power and computation of the difference in the evoked response. To circumvent these limitations, in this study, we consider various nonlinear analysis methods, by means of which ERP and/or ongoing EEG recordings of fifteen human subjects are quantitatively analyzed. Further, correlations between the latency/amplitude of characteristic peaks of the AEP and the indices based on the nonlinear measurements are discussed.
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Auditory information processing in the human brain: Nonlinear analysis of the auditory-evoked potential