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Related Experiment Video

Updated: Jun 15, 2025

Perspectives on Neuroscience
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Perspectives on Neuroscience

Published on: July 31, 2007

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Recent Progress in Artificial Neurons for Neuromodulation.

Qinkai Jiang1, Mengwei Liu2

  • 1College of Materials Science and Engineering, Sichuan University, Chengdu 610065, China.

Journal of Functional Biomaterials
|August 28, 2024
PubMed
Summary
This summary is machine-generated.

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Correction: Kuc et al. Tension-Dominant Orthodontic Loading and Buccal Periodontal Phenotype Preservation: An Integrative Mechanobiological Model Supported by FEM and a Proof-of-Concept CBCT. <i>J. Funct. Biomater.</i> 2026, <i>17</i>, 47.

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Artificial neuron devices interpret and transmit neurological signals using advanced biomaterials and AI. These innovations promise to revolutionize personalized healthcare and brain-machine interfaces.

Area of Science:

  • Neuroscience and Biomedical Engineering
  • Materials Science and Artificial Intelligence

Background:

  • Artificial neuron devices are emerging technologies for interpreting and transmitting neurological signals.
  • Advancements in biomaterials, fabrication, and AI are driving progress in this field.
  • These systems offer multi-modal bio-integrable sensing for neurological monitoring and modulation.

Purpose of the Study:

  • To provide an overview of recent progress in artificial neuron technology.
  • To highlight high-tech applications enabled by material engineering and design innovations.
  • To explore potential application areas for artificial neuron devices.

Main Methods:

  • Review of recent advancements in artificial neuron technology.
  • Focus on innovations in material engineering, device design, and fabrication.
Keywords:
artificial neuronsbio-integrated systemimplantable devicesmulti-modal sensingneuromodulation

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  • Exploration of emerging high-tech applications and potential use cases.

    • Main Results:

    • Significant progress has been made in developing artificial neuron devices.
    • Innovations in materials and design enable enhanced sensing and signal processing.
    • Diverse applications are emerging in personalized healthcare and human enhancement.

    Conclusions:

    • Artificial neuron devices represent a promising future for brain-machine interfaces.
    • These technologies have the potential to revolutionize personalized healthcare and human enhancement.
    • Continued advancements are expected to expand the capabilities and applications of artificial neurons.