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Hydrogel-Based Artificial Synapses for Sustainable Neuromorphic Electronics.

Jiongyi Yan1, James P K Armstrong2, Fabrizio Scarpa3

  • 1School of Cellular and Molecular Medicine, University of Bristol, Bristol, BS8 1TD, UK.

Advanced Materials (Deerfield Beach, Fla.)
|August 1, 2024
PubMed
Summary
This summary is machine-generated.

Functional hydrogels are reviewed as artificial synapses for intelligent bioelectronics. These biocompatible materials offer sustainable neuromorphic hardware for energy-efficient computing and advanced biosensing applications.

Keywords:
artificial synapseshydrogelsmemristorsneuromorphic computingresistive switching transistors

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Neuroscience

Background:

  • Hydrogels offer biocompatibility, biodegradability, and tunable properties for biomedical applications.
  • Functional hydrogels are key to developing intelligent bioelectronics.
  • Artificial synapses are crucial for brain-inspired computing.

Purpose of the Study:

  • To review the state-of-the-art in hydrogel-based transistors and memristors as artificial synapses.
  • To explore the potential of hydrogels in creating sustainable neuromorphic hardware.
  • To discuss the impact of hydrogel-based artificial synapses on bionics, biometrics, and biosensing.

Main Methods:

  • Review of current literature on functional hydrogel-based transistors and memristors.
  • Analysis of hydrogel properties and their role as dielectric electrolytes and switching layers.
  • Comparison of different hydrogels and their switching performance in synaptic devices.

Main Results:

  • Hydrogels function as dielectric electrolytes in transistors and switching layers in memristors for artificial synapses.
  • Hydrogel-based synaptic devices exhibit adaptable resistive switching for short-term and long-term memory effects.
  • Discrepancies in switching performance and efficacy among different hydrogel systems were noted.

Conclusions:

  • Hydrogel-based artificial synapses represent a promising avenue for biocompatible, eco-friendly, and sustainable neuromorphic hardware.
  • These devices can enable energy-efficient information storage and processing in artificial neural networks.
  • Advancements in hydrogel synaptic devices hold significant potential for neuromorphic bionics, biometrics, and biosensing.