A hierarchical reinforcement learning model explains individual differences in attentional set shifting.
Attentional set shifting refers to the ease with which the focus of attention is directed and switched. Cognitive tasks, such as the widely used CANTAB IED, reveal great variation in set shifting ability in the general population, with notable impairments in those with psychiatric diagnoses. The att...
| Publicado en: | Cognitive, Affective & Behavioral Neuroscience Vol. 24; no. 6; pp. 1008 - 1023 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180589611&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180589611 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15307026 NA4 jtl: Cognitive, Affective & Behavioral Neuroscience issn: 15307026 maglogo: N pubinfo: dt: Dec2024 vid: 24 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 180589611 179783416 10.3758/s13415-024-01223-7 180589611 ppf: 1008 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A hierarchical reinforcement learning model explains individual differences in attentional set shifting. aug: au: Talwar, Anahita Cormack, Francesca Huys, Quentin J. M. Roiser, Jonathan P. affil: https://ror.org/02n1y8269 Neuroscience and Mental Health Group, UCL Institute of Cognitive Neuroscience, 17-19 Queen Square, WC1N 3AZ, London, UK sug: ab: Attentional set shifting refers to the ease with which the focus of attention is directed and switched. Cognitive tasks, such as the widely used CANTAB IED, reveal great variation in set shifting ability in the general population, with notable impairments in those with psychiatric diagnoses. The attentional and learning processes underlying this cognitive ability and how they lead to the observed variation remain unknown. To directly test this, we used a modelling approach on two independent large-scale online general-population samples performing CANTAB IED, with one including additional psychiatric symptom assessment. We found a hierarchical model that learnt both feature values and dimension attention best explained the data and that compulsive symptoms were associated with slower learning and higher attentional bias to the first relevant stimulus dimension. These data showcase a new methodology to analyse data from the CANTAB IED task, as well as suggest a possible mechanistic explanation for the variation in set shifting performance, and its relationship to compulsive symptoms. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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