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The Retina01:32

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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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Retina-Inspired Bi-Based Terahertz Photonic Neuromorphic Devices.

Pujing Zhang1, Donggang Xie2, Longyu Shi1

  • 1Key Laboratory of Terahertz Optoelectronics, Ministry of Education and Beijing Advanced Innovation Center for Imaging Theory and Technology, Department of Physics, Capital Normal University, Beijing, P. R. China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|April 2, 2026
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Summary
This summary is machine-generated.

Researchers developed bismuth-based terahertz (THz) photonic devices to mimic the human retina. These devices offer precise control over synaptic weights, enabling high-accuracy neuromorphic computing for advanced visual systems.

Keywords:
2D materialneuromorphic deviceterahertzvan der waals heterojunction

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Area of Science:

  • Neuroscience and Photonics
  • Bionic Systems and Neuromorphic Computing

Background:

  • The human retina is vital for visual processing, and emulating its function in bionic devices is a key goal.
  • Current terahertz (THz) devices face challenges in regulating synaptic weights for neuromorphic applications.

Purpose of the Study:

  • To propose and construct bismuth-based THz photonic neuromorphic devices that emulate retinal function.
  • To address the bottleneck in synaptic weight regulation for THz neuromorphic devices.

Main Methods:

  • Development of bismuth-based THz photonic devices exhibiting picosecond short-term plasticity.
  • Construction of a terahertz-optical neural network (THz-ONN) to imitate retina function.
  • Regulation of THz photoresponse (synaptic weight) using incremental optical pulses.

Main Results:

  • Achieved precise and continuous regulation of synaptic weights via optical pulses.
  • Demonstrated high recognition accuracy in neuromorphic computing using the THz-ONN.
  • Showcased picosecond short-term plasticity in the proposed devices.

Conclusions:

  • The study presents a novel approach for realizing THz neuromorphic devices with variable plasticity.
  • The developed THz-ONN successfully mimics biological retina function with high accuracy.
  • This work opens new avenues for bionic sensory systems and THz neuromorphic computing.