对于对象识别的跨撒卡德集成,随着目标定向的撒卡德变得更加以突出性驱动,与前撒卡德对象异常性逐渐消失
1Eberhard Karls University of Tübingen and Max Planck Institute for Biological Cybernetics, Tübingen, 72076, Germany.
Vision research
|November 28, 2024
概括
跨斜视集成,结合视觉信息之前和之后的眼睛运动 (斜视),有限制. 在某种视觉异常度之外,识别仅依赖于后形形视觉,而不是前形线索.
科学领域:
- 认知神经科学 认知神经科学
- 视觉感知 视觉感知 视觉感知
- 人类因素 人类因素
背景情况:
- 通过使用saccades将物品带到fovea来促进对象的识别.
- 人类观察者整合视觉信息从前 (前) 和后 (后) .
- 之前的研究使用了受指导的萨卡德,限制了对自然视觉探索的理解.
研究的目的:
- 在自然视觉探索过程中,研究跨分层融合的局限性.
- 为了确定前形偏心如何影响目标识别的信息整合.
- 探索中央和外周视觉在混乱环境中的作用.
主要方法:
- 30名观察员在一个大而杂乱的视觉场景 (57.3°×33.8°) 中寻找目标.
- 参与者自由决定何时何地进行saccade.
- 测量了前阴影偏心率 (e),前阴影固定时间 (Tpre) 和后阴影观看时间 (Tpost).
主要成果:
- 时隔后观看持续时间 (Tpost) 随着离心率 (e) 的增加而增加,然后在10°-20°左右和.
- 在和之前,前固定持续时间 (Tpre) 随着e缓慢增加,并在和之前减小.
- 在较大的异常点上,跨斜体集成停止了,识别仅依赖于后斜体视.
结论:
- 跨的整合有局限性,特别是在自然视觉搜索过程中混乱的场景中.
- 在临界异常度 (ep) 以后,目标识别完全取决于后形形处理.
- 结果与中央-外围二分法相一致,其中中央视力用于看,外围视力用于看.
更多相关视频
06:12Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram
Published on: March 13, 2018
10.6K
06:46Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
Published on: March 18, 2019
7.0K
相关概念视频
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
Difference from Background: Limit of Detection
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
