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Related Concept Videos

The Retina01:32

The Retina

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The retina is a layer of nervous tissue at the back of the eye that transduces light into neural signals. This process, called phototransduction, is carried out by rod and cone photoreceptor cells in the back of the retina.
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Related Experiment Video

Updated: May 8, 2026

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors
09:59

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Published on: June 23, 2018

Retina-Inspired Flexible Visual Synaptic Device for Dynamic Image Processing.

Yuhang Ji1,2, Yao Meng2, Xueli Geng1

  • 1School of Physics, Beihang University, Beijing 100191, China.

ACS Applied Materials & Interfaces
|January 22, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed a flexible UV neuromorphic visual synaptic device (NeuVSD) inspired by the human retina. This device enables rapid photoresponse and memory for advanced artificial vision systems, improving dynamic visual perception in challenging conditions.

Keywords:
human visual systemnanowireneuromorphic visual synaptic deviceoptoelectronic synapsesynaptic plasticity

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Area of Science:

  • Materials Science
  • Neuroscience
  • Electrical Engineering

Background:

  • Artificial human vision systems (HVSs) require biomimetic perception for real-time processing of invisible spectra.
  • Fast processing of dynamic motion objects necessitates HVSs with swift photoresponse and nonvolatile memory.
  • Existing devices struggle to meet these simultaneous demands, particularly in natural environments.

Purpose of the Study:

  • To propose a flexible UV neuromorphic visual synaptic device (NeuVSD) inspired by the human retina.
  • To achieve simultaneous rapid photoresponse and nonvolatile memory for dynamic visual perception.
  • To demonstrate the device's capability in target recognition and motion detection under challenging conditions.

Main Methods:

  • Fabrication of a flexible NeuVSD using GaOₓ@GaN-composited nanowires on a PET/PI substrate.
  • Investigation of optoelectronic properties, including photoresponse, synaptic plasticity, and stability under bending.
  • Development of neuromorphic visual neural networks for target and motion detection using the NeuVSD array.

Main Results:

  • The NeuVSD achieved simultaneous rapid photoresponse and long-term plasticity, surpassing traditional devices.
  • The flexible device maintained good performance stability after 1000 bending cycles.
  • Successful demonstration of target recognition and motion detection under weak light intensities and up to 40% noise.

Conclusions:

  • The flexible NeuVSD offers a promising solution for advanced artificial vision systems.
  • The device enhances dynamic visual information processing in low-light and high-noise environments.
  • This work contributes to the evolution of in-sensor computing and artificial intelligence through neuromorphic engineering.