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Determination of Photoreceptor Cell Spectral Sensitivity in an Insect Model from In Vivo Intracellular Recordings
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Complementary Photoresponse in van der Waals Heterostructures for Insect-Inspired Neuromorphic Vision.

Dipanjan Sen1, Anshul Rasyotra1, Anirban Chowdhury1

  • 1Engineering Science and Mechanics, Penn State University, University Park, Pennsylvania 16802, United States.

ACS Nano
|December 29, 2025
PubMed
Summary
This summary is machine-generated.

Researchers achieved complementary responses in solid-state systems using LiInP2Se6. This van der Waals material enables photonic circuits mimicking insect vision for neuromorphic applications.

Keywords:
2D materialscomplementary photoresponsefield-effect transistorneuromorphic visionthiophosphatesvan der Waals dielectric

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Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Neuroscience

Background:

  • Biological sensory systems exhibit complementary responses to stimuli, crucial for processing information.
  • Realizing such complementary behaviors in solid-state systems remains a significant challenge.

Purpose of the Study:

  • To demonstrate complementary photoconductive responses in a van der Waals material.
  • To engineer a neuromorphic photonic circuit for motion detection.

Main Methods:

  • Utilized monolayer MoS2 field-effect transistors (FETs) with LiInP2Se6 as a dielectric.
  • Employed density functional theory, photoluminescence spectroscopy, and electrical measurements.
  • Constructed a photonic circuit for light stimulus detection.

Main Results:

  • Two LiInP2Se6 specimens with different defect landscapes showed opposing photoconductive responses to identical illumination.
  • The developed photonic circuit converted light stimuli into electrical spikes encoding object velocity.
  • The system's response mimicked lobula giant movement detector (LGMD) neurons.

Conclusions:

  • Complex anion 2D thiophosphates, specifically LiInP2Se6, exhibit intrinsic complementary responses.
  • This material is a promising platform for developing low-power, miniaturized neuromorphic vision systems.
  • The study bridges materials science with neuroscience for advanced sensory applications.