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Related Concept Videos

Vision01:24

Vision

53.1K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
53.1K
Visual System01:26

Visual System

570
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
570

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Related Experiment Video

Updated: Jun 24, 2025

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
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Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

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All optical neural interfaces.

F Ladouceur, A Al Abed, T Lehmann

    Applied Optics
    |June 10, 2024
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    Summary
    This summary is machine-generated.

    Optical brain/computer interfaces (BCIs) using liquid-crystal technology offer a high-bandwidth, high-density alternative to traditional electrode arrays. This approach promises improved performance and viability for neural interfacing applications.

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    Area of Science:

    • Neuroscience and Biomedical Engineering
    • Optical Physics and Materials Science

    Background:

    • Brain/computer interfaces (BCIs) traditionally use limited-channel electrode arrays for neural recording.
    • These traditional methods face challenges in bandwidth, channel density, and long-term viability.

    Purpose of the Study:

    • To explore an optical approach for BCIs using liquid-crystal transducer technology.
    • To present the architecture, challenges, and solutions for this novel optical BCI platform.

    Main Methods:

    • Review of an optical BCI architecture based on liquid-crystal transducer technology.
    • Analysis of the technical requirements for advanced neural interfacing.

    Main Results:

    • Liquid-crystal based optical transducers offer potential for high bandwidth and channel density.
    • This technology platform addresses key limitations of traditional neural interfaces.

    Conclusions:

    • Optical BCIs utilizing liquid-crystal technology present a promising alternative for advanced neural interfacing.
    • Ongoing development at UNSW Sydney aims to overcome existing challenges for long-term viability.