Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data.
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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1012765 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832540299648303104 |
|---|---|
| author | Fernando A Najman Antonio Galves Marcela Svarc Claudia D Vargas |
| author_facet | Fernando A Najman Antonio Galves Marcela Svarc Claudia D Vargas |
| author_sort | Fernando A Najman |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0ee5b7a729de4f168ed3efcfceeb2daf |
| institution | Kabale University |
| issn | 1553-734X 1553-7358 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj-art-0ee5b7a729de4f168ed3efcfceeb2daf2025-02-05T05:30:41ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582025-01-01211e101276510.1371/journal.pcbi.1012765Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data.Fernando A NajmanAntonio GalvesMarcela SvarcClaudia D VargasIt 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.https://doi.org/10.1371/journal.pcbi.1012765 |
| spellingShingle | Fernando A Najman Antonio Galves Marcela Svarc Claudia D Vargas Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data. PLoS Computational Biology |
| title | Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data. |
| title_full | Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data. |
| title_fullStr | Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data. |
| title_full_unstemmed | Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data. |
| title_short | Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data. |
| title_sort | extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data |
| url | https://doi.org/10.1371/journal.pcbi.1012765 |
| work_keys_str_mv | AT fernandoanajman extractingthefingerprintsofsequencesofrandomrhythmicauditorystimulifromelectrophysiologicaldata AT antoniogalves extractingthefingerprintsofsequencesofrandomrhythmicauditorystimulifromelectrophysiologicaldata AT marcelasvarc extractingthefingerprintsofsequencesofrandomrhythmicauditorystimulifromelectrophysiologicaldata AT claudiadvargas extractingthefingerprintsofsequencesofrandomrhythmicauditorystimulifromelectrophysiologicaldata |