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Neuromorphic Active Pixel Image Sensor Array for Visual Memory.

Seongin Hong1,2, Haewon Cho1, Byung Ha Kang3

  • 1School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon 440-746, Republic of Korea.

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|August 31, 2021
PubMed
Summary
This summary is machine-generated.

Researchers developed a neuromorphic active pixel image sensor array (NAPISA) chip that emulates human visual memory. This novel device, using amorphous oxide semiconductors, demonstrates visual memory and forgetting behaviors without software, paving the way for advanced AI.

Keywords:
active pixel sensoramorphous oxide semiconductorneuromorphic engineeringphototransistorvisual memory

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Area of Science:

  • Neuromorphic Engineering
  • Photonics
  • Artificial Intelligence

Background:

  • Neuromorphic engineering aims to emulate neural systems for advanced AI.
  • Emulating human visual memory with active pixel sensor arrays for neuromorphic photonics remains a challenge.
  • Individual pixels in an array can function as artificial neurons.

Purpose of the Study:

  • To demonstrate a neuromorphic active pixel image sensor array (NAPISA) chip.
  • To emulate human visual memory using a novel hardware approach.
  • To utilize amorphous oxide semiconductor heterostructures for neuromorphic applications.

Main Methods:

  • Fabrication of an 8x8 NAPISA chip using amorphous oxide semiconductor heterostructures.
  • Integration of select transistors and neuromorphic phototransistors within each pixel.
  • Utilizing indium zinc oxide and indium gallium zinc oxide layers for persistent photoconductivity and uniform channel properties.
  • Employing pulsed light stencil method for demonstrating visual memory and forgetting behaviors.

Main Results:

  • The NAPISA chip successfully emulates human visual memory and forgetting.
  • Phototransistors exhibit photonic potentiation and depression characteristics via charge trapping/detrapping.
  • Demonstration of visual memory and forgetting behaviors achieved directly on the chip without software or simulation.

Conclusions:

  • The developed NAPISA chip provides a hardware basis for emulating human visual memory.
  • The study offers valuable insights for advancing neuromorphic devices and systems.
  • This work contributes to the development of next-generation artificial intelligence technologies.