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相关概念视频

Vision01:24

Vision

60.3K
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.
60.3K
Mechanism of Breathing I: Inspiration01:30

Mechanism of Breathing I: Inspiration

3.3K
Introduction to Inspiration: The Respiratory System in Action
The respiratory system, an essential network for breathing, comprises the conducting and respiratory zones, each playing a crucial role in the overall process of respiration. Let us explore the detailed mechanism of inspiration, or inhalation, which is the first phase of the respiratory cycle.
Pathway of Air during Inspiration
During inspiration, air enters our body through the nose or mouth and moves through the conducting zone,...
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Color Vision01:24

Color Vision

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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.
1.5K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

2.1K
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.
2.1K
Computed Tomography01:10

Computed Tomography

8.9K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
8.9K
Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

345
Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
345

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相关实验视频

Updated: Feb 14, 2026

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

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的视觉启发了近距离传感器计算.

Zishen Zhao1,2, Yixin Cao1,3, Shuaiwei Huang1

  • 1School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China.

Nature communications
|February 12, 2026
PubMed
概括
此摘要是机器生成的。

在猫头视觉的启发下,这项研究引入了一种新的双模突触晶体管,用于低光机器视觉. 该设备在缺乏光子条件下实现高效,高适应性被动目标检测.

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科学领域:

  • 神经形态工程的神经形态工程
  • 材料科学 材料科学 材料科学
  • 人工智能的人工智能

背景情况:

  • 被动目标检测在低光条件下对机器视觉至关重要,使监控和指导等应用成为可能.
  • 现有的技术在缺乏光子的环境中难以获得灵敏度和适应性.
  • 模仿生物视觉系统,如猫头的视觉系统,为提高性能提供了一个有希望的方法.

研究的目的:

  • 开发一种由猫头视觉启发的双模突触晶体管.
  • 为了实现光电子解,实现并行光子感知和电可塑性仿真.
  • 为了使神经形态视觉传感器能够节能,低光度的图像处理.

主要方法:

  • 使用光电子解机制制造双模突触晶体管.
  • 描述设备在感知低光强度时的性能.
  • 对人工神经网络应用的突触重量调制的演示.
  • 测试用于图像处理的自适应对比度增强.

主要成果:

  • 该设备实现了高活跃适应指数,约为331.
  • 它成功地检测到光强度低至0.146nW cm-2.
  • 证明了循环稳定的突触重量调制 (增强和抑制).
  • 在一个特定的光强度范围内,通过三个人工神经水平验证了可行的重量部署.

结论:

  • 开发的以猫头视觉为灵感的设备为先进的神经形态视觉传感器提供了硬件基础.
  • 它可以实现高效和有效的低光图像处理.
  • 这项技术对于需要高灵敏度和适应在具有挑战性的视觉环境中的应用具有重大潜力.