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Conformal Neuromorphic Bioelectronics for Sense Digitalization.

Xiao Zhao1, Haochen Zou1, Ming Wang2

  • 1State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing, 210023, China.

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Summary
This summary is machine-generated.

Sense digitalization transforms sensory experiences into digital data, inspired by biological systems. This review covers progress, challenges, and future ambitions in neuromorphic bioelectronics for seamless human-device integration.

Keywords:
human–machine interfacesneuromorphic perceptionphysical and biochemical stimulisoft electronicssynaptic plasticity

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Area of Science:

  • Bioelectronics
  • Neurotechnology
  • Sensory Systems

Background:

  • Sense digitalization bridges the physical world with human perception.
  • Biological senses offer inspiration for adaptability, robustness, and energy efficiency.
  • Neuromorphic bioelectronics enable bidirectional interactions with biological systems.

Purpose of the Study:

  • To review recent advancements in sensory digitalization techniques.
  • To explore the digital representation of physical and biochemical stimuli.
  • To examine material design, device manufacturing, and system integration.

Main Methods:

  • Review of current literature on sensory digitalization.
  • Analysis of neuromorphic bioelectronic approaches.
  • Discussion of material science, device fabrication, and system integration.

Main Results:

  • Progress in digitalizing touch, light, temperature, and biochemical stimuli.
  • Insights into material design, device manufacturing, and system integration.
  • Identification of challenges including standardization and biological system integration.

Conclusions:

  • Sensory digitalization is a rapidly advancing field with significant potential.
  • Neuromorphic bioelectronics are key to achieving seamless human-device integration.
  • Future applications include neural prosthetics, exoskeletons, and cybernetic devices.