Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
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 JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

1.9K
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.
1.9K
Vision01:24

Vision

59.4K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
59.4K
Color Vision01:24

Color Vision

1.4K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
1.4K
Nature and Nurture01:10

Nature and Nurture

22.2K
Many human characteristics, like height, are shaped by both nature—in other words, by our genes—and by nurture, or our environment. For example, chronic stress during childhood inhibits the production of growth hormones and consequently reduces bone growth and height. Scientists estimate that 70-90% of variation in height is due to genetic differences among individuals, and 10-30% of variation in height is due to differences in the environments that individuals experience,...
22.2K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.5K
VSEPR Theory for Determination of Electron Pair Geometries
45.5K
What is Natural Selection?01:32

What is Natural Selection?

126.0K
Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
126.0K

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

Dynamic competition between selective attention and spatial prediction during visual search.

Journal of experimental psychology. Human perception and performance·2026
Same author

An open-access multi-site fMRI dataset for investigating conscious visual perception.

Scientific data·2026
Same author

Attention in the wild: balancing flexibility and stability.

Trends in cognitive sciences·2026
Same author

Stimulus dependencies-rather than next-word prediction-can explain pre-onset brain encoding in naturalistic listening designs.

eLife·2026
Same author

Where learning paths meet: Convergence and divergence of statistical and reinforcement learning.

Current opinion in neurobiology·2026
Same author

What type of relationship is learned during visual statistical learning?

PloS one·2026
Same journal

Development of whole-limb skeletal patterning through the coordination of growth and self-organization models.

PLoS computational biology·2026
Same journal

The energetic cost of human standing balance and gait initiation over a range of natural postures.

PLoS computational biology·2026
Same journal

Combinatorial multiomic analysis from a pedigree of Sox10Dom Hirschsprung mice identifies multiple high confidence candidate modifiers of Enteric Nervous System development.

PLoS computational biology·2026
Same journal

Extracting host-specific developmental signatures from longitudinal microbiome data.

PLoS computational biology·2026
Same journal

Population sparseness determines strength of Hebbian plasticity for maximal memory lifetime in associative networks.

PLoS computational biology·2026
Same journal

Predictive coding explains asymmetric connectivity in the brain: A neural network study.

PLoS computational biology·2026
查看所有相关文章

相关实验视频

Updated: Jan 22, 2026

Using Looming Visual Stimuli to Evaluate Mouse Vision
05:07

Using Looming Visual Stimuli to Evaluate Mouse Vision

Published on: June 13, 2019

12.2K

在自然视觉中通过小鼠视觉皮层进行更高层次的空间预测.

Micha Heilbron1,2, Floris P de Lange1

  • 1Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands.

PLoS computational biology
|January 20, 2026
PubMed
概括
此摘要是机器生成的。

感官皮层预测到来的信号,更可预测的自然场景唤起了较弱的大脑反应. 这种预测能力,特别是对于更高级别的特征,可以独立于最近的经验.

更多相关视频

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

13.5K
Chronic Imaging of Mouse Visual Cortex Using a Thinned-skull Preparation
11:12

Chronic Imaging of Mouse Visual Cortex Using a Thinned-skull Preparation

Published on: October 25, 2010

14.4K

相关实验视频

Last Updated: Jan 22, 2026

Using Looming Visual Stimuli to Evaluate Mouse Vision
05:07

Using Looming Visual Stimuli to Evaluate Mouse Vision

Published on: June 13, 2019

12.2K
A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

13.5K
Chronic Imaging of Mouse Visual Cortex Using a Thinned-skull Preparation
11:12

Chronic Imaging of Mouse Visual Cortex Using a Thinned-skull Preparation

Published on: October 25, 2010

14.4K

科学领域:

  • 神经科学是一个神经科学.
  • 计算神经科学是一种神经科学.
  • 人工智能的人工智能

背景情况:

  • 预测性处理理论表明,感官系统根据上下文预测到来的信号.
  • 现有证据表明,感官皮层中的预测通常依赖于人工刺激,而不是自然感知.

研究的目的:

  • 研究小鼠视觉皮层在自然场景感知过程中的感官预测.
  • 在自然图像中量化空间可预测性,并将其与神经反应相关联.

主要方法:

  • 利用深度生成建模来评估图像补丁的空间可预测性.
  • 分析了来自艾伦研究所大脑天文台的大规模,高密度的记录.
  • 控制用于调整低级图像特征和当地的统计环境.

主要成果:

  • 皮层反应是由感官可预测性调节的;可预测的补丁引发了较弱的反应.
  • 视觉皮层神经元对更高层次的特征可预测性表现出敏感性,即使在主要视觉区域.
  • 对于不可预测性的敏感性在主要视觉皮层的表面层中更为明显.
  • 空间预测效应独立于最近的经验,这表明依赖于长期先验.

结论:

  • 视觉皮层主要在更高的抽象水平上预测感官信息.
  • 这些发现与预测编码模型和人工智能自主监督学习相一致.