Return
Natural visually guided behavior
DOI:10.1016/j.brainres.2025.149899.png)
Abstract
En 中文
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.
Keywords:
natural vision
visual function
decision-making
visually guided actions
uncertainty
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
2.6
Papers:
855
Citations:
4.0W

