Almaatouq et al. propose an integrative experiment design space combined with large samples for scientific advancement. We argue recent innovative designs combining closed-loop experiment designs and Bayesian optimisation allow for integrative experiments at an individual level during a single session, circumventing the necessity for large samples. This method can be applied across disciplines, including developmental and clinical research.

Haartsen, R., Gui, A., Jones, E. (2024). Neuroadaptive Bayesian optimisation can allow integrative design spaces at the individual level in the social and behavioural sciences… and beyond. BEHAVIORAL AND BRAIN SCIENCES, 47 [10.1017/S0140525X23002388].

Neuroadaptive Bayesian optimisation can allow integrative design spaces at the individual level in the social and behavioural sciences… and beyond

Anna Gui
Conceptualization
;
2024-01-01

Abstract

Almaatouq et al. propose an integrative experiment design space combined with large samples for scientific advancement. We argue recent innovative designs combining closed-loop experiment designs and Bayesian optimisation allow for integrative experiments at an individual level during a single session, circumventing the necessity for large samples. This method can be applied across disciplines, including developmental and clinical research.
2024
Pubblicato
Rilevanza internazionale
Commento
Esperti anonimi
Settore PSIC-01/B - Neuropsicologia e neuroscienze cognitive
Settore PSIC-02/A - Psicologia dello sviluppo e dell'educazione
Settore MEDS-20/B - Neuropsichiatria infantile
English
Haartsen, R., Gui, A., Jones, E. (2024). Neuroadaptive Bayesian optimisation can allow integrative design spaces at the individual level in the social and behavioural sciences… and beyond. BEHAVIORAL AND BRAIN SCIENCES, 47 [10.1017/S0140525X23002388].
Haartsen, R; Gui, A; Jones, Ejh
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/446085
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