2009/03/05 by Massimiliano Ignaccolo, M. Ignaccolo, Ignaccolo, M. +11
Computer Science · Economics, Econometrics and Finance · Neuroscience · Physics and Astronomy · #Biological Physics (physics.bio-ph) #Complex Systems and Time Series Analysis #Data Analysis #FOS: Physical sciences #Neural Networks and Applications #Neural dynamics and brain function #Statistics and Probability (physics.data-an) #physics.bio-ph #physics.data-an
paper · pdf · doi:10.48550/arxiv.0903.1078
arxiv created 2009/03/05 · openalex publication_date 2009/03/05 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
EEG time series are analyzed using the diffusion entropy method. The resulting EEG entropy manifests short-time scaling, asymptotic saturation and an attenuated alpha-rhythm modulation. These properties are faithfully modeled by a phenomenological Langevin equation interpreted within a neural network context.