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Related Concept Videos

Visual System01:26

Visual System

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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...
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Vision01:24

Vision

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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

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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...
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What is a Sensory System?01:31

What is a Sensory System?

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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.
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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.
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Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

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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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Using Looming Visual Stimuli to Evaluate Mouse Vision
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A vision chip with complementary pathways for open-world sensing.

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
Summary
This summary is machine-generated.

Researchers developed a new vision chip inspired by the human visual system. This complementary sensing paradigm enables high-speed, high-dynamic-range image sensing for robust perception in complex, open-world applications.

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Area of Science:

  • Computer Vision
  • Sensor Technology
  • Biomimetic Systems

Background:

  • Image sensors struggle with dynamic, unpredictable open-world scenes due to power and bandwidth limitations.
  • Existing sensors face trade-offs between speed, resolution, dynamic range, and precision.

Purpose of the Study:

  • To introduce a novel complementary sensing paradigm inspired by the human visual system.
  • To overcome fundamental limitations in developing vision systems for diverse open-world applications.

Main Methods:

  • Developed a vision chip, Tianmouc, with a hybrid pixel array and parallel-and-heterogeneous readout architecture.
  • Implemented a primitive-based representation to create cognition-oriented and action-oriented pathways.
  • Integrated the Tianmouc chip into an autonomous driving system.

Main Results:

  • Achieved high-speed sensing up to 10,000 fps and a dynamic range of 130 dB.
  • Demonstrated adaptive bandwidth reduction by 90%.
  • Enabled accurate, fast, and robust perception in challenging autonomous driving scenarios.

Conclusions:

  • The primitive-based complementary sensing paradigm effectively addresses limitations in current image sensor technology.
  • The Tianmouc chip offers superior performance in spatial resolution, speed, and dynamic range for open-world applications.
  • This approach enhances perception capabilities for autonomous systems in complex environments.