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:e45 (2024)
  Copy   BIBTEX

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.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 93,098

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Analytics

Added to PP
2024-02-06

Downloads
7 (#1,413,139)

6 months
7 (#491,177)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Emily Jones
Oklahoma State University

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references