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
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

220-244

Informations 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.

Auteurs

Antonella Maselli (A)

Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.

Jeremy Gordon (J)

University of California, Berkeley, Berkeley, CA, 94704, United States.

Mattia Eluchans (M)

Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy; University of Rome "La Sapienza", Rome, Italy.

Gian Luca Lancia (GL)

Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy; University of Rome "La Sapienza", Rome, Italy.

Thomas Thiery (T)

Department of Psychology, University of Montréal, Montréal, Québec, Canada.

Riccardo Moretti (R)

Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy; University of Rome "La Sapienza", Rome, Italy.

Paul Cisek (P)

Department of Neuroscience, University of Montréal, Montréal, Québec, Canada.

Giovanni Pezzulo (G)

Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy. Electronic address: giovanni.pezzulo@istc.cnr.it.

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