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相关概念视频

Visual System01:26

Visual System

570
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...
570
Vision01:24

Vision

53.1K
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.
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Parallel Processing01:20

Parallel Processing

150
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
150
What is a Sensory System?01:31

What is a Sensory System?

93.2K
Sensory systems detect stimuli—such as light and sound waves—and transduce them into neural signals that can be interpreted by the nervous system. In addition to external stimuli detected by the senses, some sensory systems detect internal stimuli—such as the proprioceptors in muscles and tendons that send feedback about limb position.
93.2K
Color Vision01:24

Color Vision

556
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.
556
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

3.7K
The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
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相关实验视频

Updated: Jun 25, 2025

Using Looming Visual Stimuli to Evaluate Mouse Vision
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一个视觉芯片,用于开放世界的感知.

Zheyu Yang1,2, Taoyi Wang1, Yihan Lin1

  • 1Center for Brain-Inspired Computing Research (CBICR), Optical Memory National Engineering Research Center and Department of Precision Instrument, Tsinghua University, Beijing, China.

Nature
|May 29, 2024
PubMed
概括
此摘要是机器生成的。

研究人员开发了一种以人类视觉系统为灵感的视觉芯片. 这种互补的传感模式可以实现高速,高动态范围的图像传感,在复杂的开放世界应用中实现强大的感知.

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相关实验视频

Last Updated: Jun 25, 2025

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科学领域:

  • 计算机视觉
  • 传感器技术
  • 仿生系统

背景情况:

  • 由于功率和带宽的限制, 图像传感器在动态,不可预测的开放场景中扎.
  • 现有的传感器面临着速度,分辨率,动态范围和精度之间的权衡.

研究的目的:

  • 引入一种由人类视觉系统启发的新型互补感应范式.
  • 克服开发各种开放世界的视觉系统的基本局限性.

主要方法:

  • 开发了一个视觉芯片,Tianmouc,具有混合像素阵列和平行和异质读取架构.
  • 实现基于原始的表示,以创建面向认知和面向行动的途径.
  • 整合了Tianmouc芯片到一个自动驾驶系统.

主要成果:

  • 实现高速度传感速度高达10,000/秒,动态范围为130dB.
  • 已证明适应性带宽减少了90%.
  • 在具有挑战性的自动驾驶场景中实现准确,快速和强大的感知.

结论:

  • 基于原始的互补传感模式有效地解决了当前图像传感器技术的局限性.
  • 对于开放世界的应用,Tianmouc芯片在空间分辨率,速度和动态范围方面提供了卓越的性能.
  • 这种方法提高了复杂环境中的自主系统的感知能力.