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

Vision01:24

Vision

52.3K
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.
52.3K
Light Acquisition02:16

Light Acquisition

8.4K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.4K
Color Vision01:24

Color Vision

392
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.
392
Visual System01:26

Visual System

432
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
432
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

85
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
85
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

440
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
440

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

Linking retinal sampling in neural encoding models to temporal profiles of visual processing in humans.

PLoS computational biology·2026
Same author

Neuropsychological impairments in emotion recognition compared to general cognition: profiles across six different neurological disorders.

Journal of neurology·2026
Same author

Using Steady-State Visual Evoked Potentials to Characterize Wide-Ranging Retinopathy Linked to <i>CRB1</i>: Implications for Clinical Trials.

Computational and structural biotechnology journal·2026
Same author

Beyond binding: lunch can be surprisingly affordable.

Trends in cognitive sciences·2026
Same author

Understanding memory dynamics in stroke patients: Learning and forgetting patterns based on verbal recall.

Journal of neuropsychology·2026
Same author

Beyond binding: specialization without segregation.

Trends in cognitive sciences·2025

相关实验视频

Updated: May 13, 2025

VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

12.6K

超越约束:从模块化到自然视觉

H Steven Scholte1, Edward H F de Haan2

  • 1Psychology Department, University of Amsterdam, 1001NK, Amsterdam, The Netherlands.

Trends in cognitive sciences
|April 15, 2025
PubMed
概括
此摘要是机器生成的。

视觉皮层可能不会处理孤立的特征,而是自然共发生的模式. 这挑战了传统的传统.

关键词:
有约束力的问题问题.深度神经网络是一个神经网络.功能集成 功能集成 功能集成图像统计 图像统计视觉处理是视觉处理.

更多相关视频

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.5K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K

相关实验视频

Last Updated: May 13, 2025

VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

12.6K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.5K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K

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.
  • 视觉处理 视觉处理

背景情况:

  • 传统的观点认为,视觉皮层中的专门模块用于不同的特征 (例如颜色,运动).
  • 这种模块化框架导致了"绑定问题":解释单独的特征如何融入统一的感知.

研究的目的:

  • 挑战视觉皮层组织的经典模块化观点.
  • 提出一种可视信息表示的替代框架.
  • 重新评估"绑定问题"作为计算挑战的必要性.

主要方法:

  • 合成了来自电生理学,神经成像和病变研究的证据.
  • 结合了来自深度神经网络 (DNN) 的见解.
  • 分析了视觉神经科学中最近的经验发现.

主要成果:

  • 趋同的证据表明,经典的模块化框架是不够的.
  • "绑定问题"可能源于理论假设,而不是神经计算.
  • 深度神经网络为视觉皮层功能提供了新的视角.

结论:

  • 视觉皮层可能代表了自然共发生的信息模式.
  • 这种基于模式的表示框架有可能解决"约束问题".
  • 未来的研究应该专注于综合信息处理,而不是特征绑定.