Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data.
Where this comes from
- Record sourced from PubMed, PMID 39836694.
- Also identified by DOI 10.1371/journal.pcbi.1012765 and PMC identifier 11785292.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
It has been classically conjectured that the brain assigns probabilistic models to sequences of stimuli. An important issue associated with this conjecture is the identification of the classes of models used by the brain to perform this task. We address this issue by using a new clustering procedure for sets of electroencephalographic (EEG) data recorded from participants exposed to a sequence of auditory stimuli generated by a stochastic chain. This clustering procedure indicates that the brain uses the recurrent occurrences of a regular auditory stimulus in order to build a model.
Medical subject headings
- Electroencephalography
- Acoustic Stimulation
- Models, Neurological
- Brain