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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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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.
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Artificial Vision Adaption Mimicked by an Optoelectrical In2O3 Transistor Array.

Chenxing Jin1,2, Wanrong Liu1,2, Yunchao Xu1,2

  • 1Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, 932 South Lushan Road, Changsha, Hunan 410083, P. R. China.

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|March 28, 2022
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Summary
This summary is machine-generated.

Researchers developed an indium oxide (In2O3) transistor array exhibiting negative photoconductivity. This novel device mimics artificial visual perception, adapting to varying light intensities for neuromorphic electronics applications.

Keywords:
artificial visual perceptionenvironmental self-adaptationnegative photoconductivityscreen-printing ion-geltransistor array

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Area of Science:

  • Optoelectronics
  • Materials Science
  • Neuroscience

Background:

  • Simulating biological visual perception is crucial for advancing artificial intelligence.
  • Existing artificial vision systems often lack adaptability to environmental light changes.

Purpose of the Study:

  • To design and investigate an optoelectrical indium oxide (In2O3) transistor array with negative photoconductivity.
  • To demonstrate an artificial visual perception system that self-adapts to varying light intensities.

Main Methods:

  • Fabrication of an In2O3 transistor array using a side-gate structure and screen-printed ion-gel gate insulator.
  • Observation and characterization of negative photoconductivity in electrolyte-gated oxide devices.
  • Testing the device array's self-adaptive light response under different light intensities.

Main Results:

  • First observation of negative photoconductivity in electrolyte-gated oxide devices.
  • The In2O3 transistor array demonstrated self-adaptive behavior to environmental light levels.
  • Successful mimicry of visual adaptation with an adjustable threshold range.

Conclusions:

  • The developed In2O3 transistor array offers a novel approach for creating environmentally adaptive artificial visual perception systems.
  • This research holds significant implications for the future development of neuromorphic electronics.
  • The negative photoconductivity behavior in oxide devices opens new avenues for bio-inspired computing.