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Updated: May 21, 2025

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Threshold-Switching Memristors for Neuromorphic Thermoreception.

Haotian Li1, Chunsheng Jiang2, Qilin Hua1

  • 1School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.

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|March 17, 2025
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Summary
This summary is machine-generated.

Researchers developed novel temperature-sensing neuron circuits using bismuth selenide (Bi2Se3) memristors. These devices mimic biological thermoreceptors, showing potential for advanced artificial sensory systems.

Keywords:
artificial sensory systemmemristorthermoreceptor

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Area of Science:

  • Materials Science
  • Neuroscience
  • Electrical Engineering

Background:

  • Neuromorphic devices aim to emulate biological sensory systems for artificial intelligence.
  • Biological thermoreceptors provide essential temperature-sensing capabilities.
  • Memristors offer unique properties for building compact and efficient electronic circuits.

Purpose of the Study:

  • To develop and investigate neuromorphic devices for emulating biological thermoreceptors.
  • To construct temperature-sensing neuron circuits using bismuth selenide (Bi2Se3)-based memristors.
  • To analyze the performance of these circuits in response to temperature variations.

Main Methods:

  • Utilized Bi2Se3-based threshold-switching memristors with high switching ratios and thermoelectric properties.
  • Designed and simulated neuron circuits incorporating these memristors using Hspice.
  • Modeled memristor behavior based on on/off states, threshold voltage, and hold voltage.

Main Results:

  • Demonstrated that Bi2Se3 memristors exhibit spiking oscillation responses to resistance and temperature changes.
  • Achieved a high switching ratio (>10^6) and low threshold voltage in the memristor devices.
  • Validated the feasibility of using these memristors in temperature-sensing applications through simulations.

Conclusions:

  • Bi2Se3-based memristors show significant potential for creating biorealistic artificial thermoreception.
  • These devices can be integrated into neuron-like artificial sensory systems.
  • The developed circuits pave the way for advanced neuromorphic engineering applications.