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Retinomorphic Visual Processing Enabled by Contact-Engineered IGZO Optoelectronic Synaptic Memtransistors.

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Updated: Jun 3, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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Contact-Engineered Oxide Memtransistors for Homeostasis-Based High-Linearity and Precision Neuromorphic Computing.

San Nam1, Donghyun Kang1, Seong-Pil Jeon2

  • 1School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea.

Small (Weinheim an Der Bergstrasse, Germany)
|January 6, 2025
PubMed
Summary

Three-terminal oxide memtransistors enable homeostasis in neuromorphic computing. This technology offers highly linear synaptic weight updates and improved accuracy for artificial intelligence applications by mimicking biological neural network balance.

Keywords:
contact engineeringhomeoplasticityindium‐gallium‐zinc‐oxidememtransistorsneuromorphic computing

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Area of Science:

  • Neuromorphic Engineering
  • Materials Science
  • Artificial Intelligence

Background:

  • Homeostasis is crucial for biological neural networks, balancing neuronal activity for optimal information processing and learning.
  • Conventional two-terminal memristors lack global regulation, limiting their ability to implement homeostatic functions in neuromorphic systems.

Purpose of the Study:

  • To demonstrate three-terminal oxide memtransistor-based homeostatic synapses for neuromorphic computing.
  • To achieve highly linear synaptic weight updates and enhanced accuracy using gate-controlled indium-gallium-zinc-oxide (IGZO) memtransistors.

Main Methods:

  • Development of contact-engineered indium-gallium-zinc-oxide (IGZO) memtransistors with optimized source/drain electrodes and interfacial layers.
  • Leveraging gate control for synaptic weight scaling, enabling high linearity and precision in neuromorphic computing.
  • Emulation of homeostasis through synaptic scaling and sinusoidal gate voltage control for potential higher-order synaptic functions.

Main Results:

  • Achieved memtransistors with a high current switching ratio (>10^4) and reliable endurance.
  • Demonstrated highly linear synaptic weight updates with non-linearity values of 0.01 (potentiation) and -0.01 (depression).
  • Attained a recognition accuracy of 91.77% for digit images using the homeostatic synaptic scaling.

Conclusions:

  • Contact-engineered IGZO memtransistors effectively implement homeostasis in neuromorphic computing.
  • The developed devices offer high linearity, precision, and efficiency, paving the way for advanced artificial intelligence.
  • Potential for emulating higher-order synaptic functions through advanced gate voltage control strategies.