Evidence map›Paper›PMID 37499620›Full record

ReviewPhysics of life reviews2023

Beyond simple laboratory studies: Developing sophisticated models to study rich behavior.

Antonella Maselli, Jeremy Gordon, Mattia Eluchans, Gian Luca Lancia, Thomas Thiery, Riccardo Moretti, Paul Cisek, Giovanni Pezzulo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Physics of life reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

  1. Article
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  6. Article
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  11. Article
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  15. Natural visually guided behavior.Brain research · 2025
    Article
  16. The illusion of internal models in biological movement.European journal of applied physiology · 2025
    Review
  17. Article
  18. Review
  19. Embodied decisions as active inference.PLoS computational biology · 2025
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Antonella MaselliInstitute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.
Jeremy GordonUniversity of California, Berkeley, Berkeley, CA, 94704, United States.
Mattia EluchansInstitute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy; University of Rome "La Sapienza", Rome, Italy.
Gian Luca LanciaInstitute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy; University of Rome "La Sapienza", Rome, Italy.
Thomas ThieryDepartment of Psychology, University of Montréal, Montréal, Québec, Canada.
Riccardo MorettiInstitute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy; University of Rome "La Sapienza", Rome, Italy.
Paul CisekDepartment of Neuroscience, University of Montréal, Montréal, Québec, Canada.
Giovanni PezzuloInstitute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy. Electronic address: giovanni.pezzulo@istc.cnr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

NeurosciencesResearch DesignDissent and DisputesEthologySocial BehaviorBehaviorBehavioral neuroscienceComputational modelingNeuroethologySports analytics

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.