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  3. Patterned Wireless Transcranial Optogenetics Generates Artificial Perception.
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  3. Patterned Wireless Transcranial Optogenetics Generates Artificial Perception.

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Patterned wireless transcranial optogenetics generates artificial perception.

Mingzheng Wu1,2, Yiyuan Yang3,4,5,6,7, Jinglan Zhang2

  • 1Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.

Nature Neuroscience
|December 8, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Researchers developed a miniaturized brain-computer interface to wirelessly create artificial perceptions. This technology enables direct neural stimulation for advanced brain-machine communication and understanding brain perception.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Optogenetics

Background:

  • Developing brain-machine interfaces (BMIs) requires creating artificial neural inputs without relying on traditional sensory pathways.
  • A key challenge is establishing stable, minimally invasive, and wirelessly controlled platforms for artificial perceptual feedback.

Purpose of the Study:

  • To demonstrate a miniaturized, implantable transcranial optogenetic neural stimulator for real-time, wireless patterning of cortical ensembles.
  • To investigate the feasibility of generating artificial perceptions via direct neural stimulation.

Main Methods:

  • Designed and validated a miniaturized, fully implantable transcranial optogenetic neural stimulator.
  • Utilized experimentally validated numerical simulations for light and heat propagation analysis.
  • Assessed neuronal responses through in vivo electrophysiology and molecular methods.
  • Conducted cue discrimination tasks during operant learning in mice.

    • Main Results:

    • Successfully demonstrated the wireless generation of artificial percepts perceived by mice.
    • Showcased that spatial distance and sequential order in cortical networks predict discrimination performance.
    • Validated the stimulator's efficacy in eliciting measurable neuronal responses and behavioral outcomes.

    Conclusions:

    • This study presents a significant advance in all-optical brain-machine communication by enabling wireless, real-time artificial perception generation.
    • The developed technology expands the understanding of artificially patterned neural activity and its perception.
    • These findings pave the way for next-generation BMIs capable of mediating artificial perceptual feedback.