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Bioinspired Retinomorphic Optoelectronic Transistor for Visual Sensing and Processing.

Muhammad Irfan Sadiq1,2,3,4, Zhenhao Chen1,2,3,4, Muhammad Zahid1,2,3,4

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

The Journal of Physical Chemistry Letters
|December 8, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed a bioinspired retinomorphic optoelectronic transistor (BROT) for neuromorphic vision. This novel device mimics biological vision, achieving high accuracy in image recognition and restoration tasks with low power consumption.

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Area of Science:

  • Optoelectronics
  • Neuroscience
  • Materials Science

Background:

  • Biological visual systems excel in image processing due to low power and high speed.
  • Conventional electronics struggle to replicate these biological visual capabilities.
  • Artificial optoelectronic systems are being developed to mimic biological vision.

Purpose of the Study:

  • To demonstrate a bioinspired retinomorphic optoelectronic transistor (BROT) for neuromorphic vision applications.
  • To investigate the synaptic behaviors and in-sensor processing capabilities of the BROT device.
  • To evaluate the performance of the BROT platform in image recognition and restoration tasks.

Main Methods:

  • Fabrication of a BROT device using an ITO/ion-gel architecture.
  • Testing of neuromorphic plasticity under electrical and optical stimulation.
  • Integration of the BROT device with a Generative Adversarial Network (GAN) and artificial neural network (ANN).

Main Results:

  • The BROT device demonstrated stable neuromorphic plasticity, including LTP, LTD, and binary conductance modulation.
  • The device enabled in-sensor functions for image recognition and restoration.
  • Achieved 97.9% accuracy in image restoration and 88.3% in image recognition when integrated with a GAN and ANN.

Conclusions:

  • The BROT platform shows significant potential for advanced optoelectronic synaptic devices.
  • This technology advances neuromorphic vision and brain-inspired computing.
  • The device offers a pathway towards more efficient and capable artificial visual systems.