ArticleBrain research2025
Natural visually guided behavior.
Article in Brain research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- A Methodological Framework for Studying Online Language-Vision Interplay in Human-Robot Interaction.Journal of psycholinguistic research · 2026Article
- Active gaze behavior organizes V1 activity in freely-moving marmosets.bioRxiv : the preprint server for biology · 2026Article
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Authors and funding
4 authors.
Funding
Abstract
The ultimate goal of vision research is to understand visual function in the natural world. However, the dominant approach has been reductionist. Different visual functions such as motion sensitivity, and depth perception have been considered separately in tightly controlled contexts. Similarly visual perception is typically considered independently of cognition and action. It is unclear the extent to which results from such experiments can generalize, an issue that has become one of increasing concern. How to approach natural vision is not obvious, however, given the diversity of natural behaviours and lack of theoretical contexts. In this paper we note that natural behaviour has many common features that can lend coherence to the issue. Visually guided actions can be considered as a sequence of decisions evolving in time that entail evaluating the state of an uncertain world, and choosing actions to satisfy behavioural goals, while taking costs and motor variability into account. This provides a unifying framework for investigating natural behaviour in more controlled conditions.
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Registered trials
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.