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

Haartsen, Rianne and Gui, Anna and Jones, Emily J.H. (2024) Neuroadaptive Bayesian Optimisation can allow integrative design spaces at the individual level in the social and behavioural sciences… and beyond. Brain and Behavioral Sciences 47 , ISSN 0140-525X.

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Official URL: https://doi.org/10.1017/S0140525X23002388

Abstract

Almaatouq and colleagues (2022) propose an integrative experimental design space combined with large samples for scientific advancement. We argue recent innovative designs combining closed-loop experimental 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.

Metadata

Item Type:	Article
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences
Research Centres and Institutes:	Brain and Cognitive Development, Centre for (CBCD)
Depositing User:	Rianne Haartsen
Date Deposited:	19 Apr 2023 13:52
Last Modified:	12 Mar 2024 03:30
URI:	https://eprints.bbk.ac.uk/id/eprint/51068

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