Mental States as Macrostates Emerging from EEG Dynamics

dc.creatorAllefeld, Carsten
dc.creatorAtmanspacher, Harald
dc.creatorWackermann, Jiri
dc.date2008-10-02
dc.date2009-04-08
dc.date.accessioned2026-07-07T13:01:02Z
dc.date.available2026-07-07T13:01:02Z
dc.descriptionCorrelations between psychological and physiological phenomena form the basis for different medical and scientific disciplines, but the nature of this relation has not yet been fully understood. One conceptual option is to understand the mental as "emerging" from neural processes in the specific sense that psychology and physiology provide two different descriptions of the same system. Stating these descriptions in terms of coarser- and finer-grained system states (macro- and microstates), the two descriptions may be equally adequate if the coarse-graining preserves the possibility to obtain a dynamical rule for the system. To test the empirical viability of our approach, we describe an algorithm to obtain a specific form of such a coarse-graining from data, and illustrate its operation using a simulated dynamical system. We then apply the method to an electroencephalographic (EEG) recording, where we are able to identify macrostates from the physiological data that correspond to mental states of the subject.
dc.descriptioncorrected typos, added journal reference
dc.identifierhttps://arxiv.org/abs/0810.0479
dc.identifierhttp://arxiv.org/abs/0810.0479
dc.identifierpublished as: Mental states as macrostates emerging from brain electrical dynamics. Chaos, 19(1):015102, 2009
dc.identifierdoi:10.1063/1.3072788
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/226030
dc.subjectData Analysis, Statistics and Probability
dc.subjectNeurons and Cognition
dc.titleMental States as Macrostates Emerging from EEG Dynamics
dc.typetext

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