Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Depth Perception and Spatial Vision

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Selective Encoding of Priors for Flexible Categorization But Not Bayesian Inference in the Frontal Eye Field.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026

Same author

A synaptic locus of song learning.

Nature·2026

Same author

Selective encoding of priors for flexible categorization but not Bayesian inference in the frontal eye field.

bioRxiv : the preprint server for biology·2026

Same author

Dynamic Compression Flows for Neuroscience Data.

bioRxiv : the preprint server for biology·2026

Same author

A synaptic locus of song learning.

bioRxiv : the preprint server for biology·2026

Same author

Metachronous nasopharyngeal carcinoma following sinonasal inverted papilloma - a diagnostic enigma.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery·2026

Search research articles

相关实验视频

Updated: Jul 23, 2025

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

贝叶斯式和歧视性模型用于跨萨卡德的活跃视觉感知.

Divya Subramanian^1,2, John M Pearson^1,2,3,4,5, Marc A Sommer^6,2,7,4,5

¹Department of Neurobiology, Duke School of Medicine, Duke University, Durham, NC 27710.

|July 14, 2023

概括

积极的感知使我们能够看到稳定的图像,尽管眼睛运动. 这项研究表明,我们的大脑使用贝叶斯式和非贝叶斯式模型来实现视觉稳定,这取决于任务和噪音类型.

关键词:

贝叶斯模型是贝叶斯模型.积极的感知感知活动感知.随之而来的排放是附带排放.它们是灵长类的灵长类.萨卡德斯 (saccades) 是一个古老的书.视觉视觉视觉视觉是一个

更多相关视频

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

Published on: September 6, 2017

相关实验视频

Last Updated: Jul 23, 2025

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

Published on: September 6, 2017

科学领域:

神经科学是一个神经科学.
认知科学认知科学
视觉科学视觉科学视觉科学

背景情况:

大脑必须保持稳定的视觉感知,尽管由自我生成的动作引起的感官干扰,如眼动.
先前的期望影响视觉稳定性,这表明贝叶斯推理在主动感知中可能发挥作用.

研究的目的:

测试主动感知,特别是视觉稳定性在萨克德过程中,是否遵循贝叶斯原则.
调查感官不确定性如何影响人类和的感知先前期望的使用.
确定不同类型的不确定性 (外部图像噪声与内部电机噪声) 是否导致不同的感知策略.

主要方法:

人类和 rhesus macaques 执行任务报告视觉运动在 saccades 期间.
之前的预期和感官不确定性 (图像噪声和电机噪声) 被实验性地操纵.
心理物理数据与贝叶斯理想观察者模型和歧视性学习模型的预测进行了比较.

主要成果:

人类在持续的视觉判断中表现出贝叶斯行为,但在分类判断中表现出反贝叶斯行为,使用先验较少,不确定性增加.
对外部诱导的感官不确定性 (图像噪音) 显示了反贝叶斯行为,但对内部驱动的不确定性 (机器噪音) 显示了贝叶斯行为.
一种歧视性学习模型成功地解释了观察到的反贝叶斯效应.

结论:

主动视觉采用贝叶斯模型和区分模型,选择取决于任务需求 (连续或分类) 和感官不确定性的来源.
这些发现突出了感知系统的灵活性,并通过比较贝叶斯和非贝叶斯模型,提供了对主动感知背后的神经组织的见解.