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    This study introduces a new wireless communication protocol for neural implants, enhancing closed-loop brain-computer interfaces (BCIs). This advancement aims to restore function in paralyzed limbs by enabling efficient, low-power communication.

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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Computer Science

    Background:

    • Brain-computer interfaces (BCIs) are crucial for studying and treating neurological disorders.
    • Neural implants are key components for restoring function in paralyzed individuals.
    • Current BCIs face challenges in implant power consumption and external computation.

    Purpose of the Study:

    • To present a novel bidirectional wireless communication protocol for neural implants.
    • To enable external computation for reduced implant energy consumption.
    • To facilitate closed-loop brain-computer interface applications.

    Main Methods:

    • Developed an open communication protocol for wireless reader-implant interaction.
    • Implemented the downlink on a software-defined radio with GNU-Radio.
    • Implemented the uplink on a field-programmable gate array (FPGA).

    Main Results:

    • Successfully validated the bidirectional wireless communication protocol.
    • Demonstrated successful movement intention decoding from backscattered neural data.
    • Achieved significantly reduced energy consumption for the neural implant.

    Conclusions:

    • The novel protocol enables efficient wireless communication for neural implants.
    • Externalized computation drastically reduces implant power demands.
    • This technology holds significant potential for advancing closed-loop BCIs and restoring limb function.