Beyond simple laboratory studies: Developing sophisticated models to study rich behavior.
Behavior
Behavioral neuroscience
Computational modeling
Neuroethology
Sports analytics
Journal
Physics of life reviews
ISSN: 1873-1457
Titre abrégé: Phys Life Rev
Pays: Netherlands
ID NLM: 101229718
Informations de publication
Date de publication:
09 2023
09 2023
Historique:
received:
05
07
2023
accepted:
06
07
2023
medline:
4
9
2023
pubmed:
28
7
2023
entrez:
27
7
2023
Statut:
ppublish
Résumé
Psychology and neuroscience are concerned with the study of behavior, of internal cognitive processes, and their neural foundations. However, most laboratory studies use constrained experimental settings that greatly limit the range of behaviors that can be expressed. While focusing on restricted settings ensures methodological control, it risks impoverishing the object of study: by restricting behavior, we might miss key aspects of cognitive and neural functions. In this article, we argue that psychology and neuroscience should increasingly adopt innovative experimental designs, measurement methods, analysis techniques and sophisticated computational models to probe rich, ecologically valid forms of behavior, including social behavior. We discuss the challenges of studying rich forms of behavior as well as the novel opportunities offered by state-of-the-art methodologies and new sensing technologies, and we highlight the importance of developing sophisticated formal models. We exemplify our arguments by reviewing some recent streams of research in psychology, neuroscience and other fields (e.g., sports analytics, ethology and robotics) that have addressed rich forms of behavior in a model-based manner. We hope that these "success cases" will encourage psychologists and neuroscientists to extend their toolbox of techniques with sophisticated behavioral models - and to use them to study rich forms of behavior as well as the cognitive and neural processes that they engage.
Identifiants
pubmed: 37499620
pii: S1571-0645(23)00083-0
doi: 10.1016/j.plrev.2023.07.006
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
220-244Informations de copyright
Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.