dc.contributor.author | Bogaerts, Louisa | |
dc.contributor.author | Richter, Craig G. | |
dc.contributor.author | Landau, Ayelet N. | |
dc.contributor.author | Frost, Ram | |
dc.date.accessioned | 2020-10-21T11:30:57Z | |
dc.date.available | 2020-10-21T11:30:57Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Beta-band activity is a signature of statistical learning Louisa Bogaerts, Craig G. Richter, Ayelet N. Landau, Ram Frost Journal of Neuroscience 21 August 2020, JN-RM-0771-20; DOI: 10.1523/JNEUROSCI.0771-20.2020 | es_ES |
dc.identifier.issn | 0270-6474 | |
dc.identifier.uri | http://hdl.handle.net/10810/47103 | |
dc.description | First published August 21, 2020. | es_ES |
dc.description.abstract | Through statistical learning (SL), cognitive systems may discover the underlying regularities in the environment. Testing
human adults (n = 35, 21 females), we document, in the context of a classical visual SL task, divergent rhythmic EEG activity
in the interstimulus delay periods within patterns versus between patterns (i.e., pattern transitions). Our findings reveal
increased oscillatory activity in the beta band (;20 Hz) at triplet transitions that indexes learning: it emerges with increased
pattern repetitions; and importantly, it is highly correlated with behavioral learning outcomes. These findings hold the promise
of converging on an online measure of learning regularities and provide important theoretical insights regarding the
mechanisms of SL and prediction | es_ES |
dc.description.sponsorship | This work was supported by ERC Advanced Grant Project 692502-L2STAT to R.F., Marie Skłodowska-Curie
Grant 743528 (IF-EF, European Union’s Horizon 2020 Research and Innovation Program) to L.B., the Basque
Government BERC 2018-2021 program, and the Spanish State Research Agency BCBL Severo Ochoa excellence accreditation SEV-2015-0490. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | The Journal of Neuroscience | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/ERC-692502-L2STAT | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/MC/743528 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/SEV-2015-0490 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | electroencephalography | es_ES |
dc.subject | neurobiological signature | es_ES |
dc.subject | prediction | es_ES |
dc.subject | statistical learning | es_ES |
dc.title | Beta-Band Activity Is a Signature of Statistical Learning | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2020 the authors | es_ES |
dc.relation.publisherversion | https://www.jneurosci.org | es_ES |
dc.identifier.doi | 10.1523/JNEUROSCI.0771-20.2020 | |