The success of many of our activities depends on how we learn to adapt cognitive control: Usually, we focus and redirect our behavior towards our objectives when facing a particularly challenging task or when irrelevant information activates a response that conflicts with our goals, while we relax and let events guide us when the task is familiar or undemanding. Although most of the theories defining cognitive control tend to describe it as a domain-general construct, several researchers posit that each task elicits different types of control adaptations, thus implying that the control adjustments learned in one task might be purely task-specific. Indeed, some studies failed to find a transfer of control preparation strategies between tasks, while others have even questioned whether individuals can prepare for response conflict overall. To provide clarification, this project aims to (1) understand whether people can learn to employ prior control demands to prepare for subsequent task’s demands and (2) understand whether control adaptation rules (or strategies) devised in one task are indeed task-specific, or they can be transferred to other paradigms. In summary, our results provide evidence of transfer of control adaptation rules between tasks requiring control, and maltransfer of these control strategies towards tasks that do not involve variations in control demands. Moreover, our findings suggest that control adaptations rely on potentially generalizable learning strategies, which can encompass both bottom-up associative learning and a top-down strategic proactive mechanism. Overall, the outcomes of this research project are consistent with a domain-general view of cognitive control adaptations.

Learning to Adapt Cognitive Control Across Paradigms: Evidence for Domain-General Control Strategies / Vasta, Nicola. - (2024 Mar 25), pp. 1-200. [10.15168/11572_405209]

Learning to Adapt Cognitive Control Across Paradigms: Evidence for Domain-General Control Strategies

Vasta, Nicola
2024-03-25

Abstract

The success of many of our activities depends on how we learn to adapt cognitive control: Usually, we focus and redirect our behavior towards our objectives when facing a particularly challenging task or when irrelevant information activates a response that conflicts with our goals, while we relax and let events guide us when the task is familiar or undemanding. Although most of the theories defining cognitive control tend to describe it as a domain-general construct, several researchers posit that each task elicits different types of control adaptations, thus implying that the control adjustments learned in one task might be purely task-specific. Indeed, some studies failed to find a transfer of control preparation strategies between tasks, while others have even questioned whether individuals can prepare for response conflict overall. To provide clarification, this project aims to (1) understand whether people can learn to employ prior control demands to prepare for subsequent task’s demands and (2) understand whether control adaptation rules (or strategies) devised in one task are indeed task-specific, or they can be transferred to other paradigms. In summary, our results provide evidence of transfer of control adaptation rules between tasks requiring control, and maltransfer of these control strategies towards tasks that do not involve variations in control demands. Moreover, our findings suggest that control adaptations rely on potentially generalizable learning strategies, which can encompass both bottom-up associative learning and a top-down strategic proactive mechanism. Overall, the outcomes of this research project are consistent with a domain-general view of cognitive control adaptations.
25-mar-2024
XXXVI
2023-2024
Psicologia e scienze cognitive (29/10/12-)
Cognitive Science
Mulatti, Claudio
no
Inglese
Settore M-PSI/01 - Psicologia Generale
File in questo prodotto:
File Dimensione Formato  
PhD thesis Nicola Vasta.pdf

embargo fino al 24/03/2026

Descrizione: Tesi di dottorato
Tipologia: Tesi di dottorato (Doctoral Thesis)
Licenza: Creative commons
Dimensione 3.11 MB
Formato Adobe PDF
3.11 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/405209
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact