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Related Experiment Video

Updated: Mar 12, 2026

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A Bidirectional Neural Interface IC With Chopper Stabilized BioADC Array and Charge Balanced Stimulator.

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    IEEE Transactions on Biomedical Circuits and Systems
    |November 16, 2016
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    Summary
    This summary is machine-generated.

    This study introduces a novel bidirectional neural interface for precise brain signal recording and stimulation. The device enables advanced closed-loop neuromodulation by directly converting biopotentials and delivering controlled electrical currents.

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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Integrated Circuit Design

    Background:

    • Developing advanced neural interfaces is crucial for understanding brain function and treating neurological disorders.
    • Existing systems often require bulky external components or lack the precision for sophisticated closed-loop applications.

    Purpose of the Study:

    • To develop a compact, low-power, bidirectional neural interface chip for real-time biopotential recording and electrical stimulation.
    • To demonstrate the device's capability for in-vivo recordings and closed-loop neuromodulation applications.

    Main Methods:

    • A 4-channel biopotential analog-to-digital converter (bioADC) and a 4-channel current-mode stimulator were designed and fabricated in 180 nm CMOS technology.
    • The bioADC directly digitizes microvolt biopotentials using a chopper-stabilized OTA and a ∆Σ modulator, bypassing voltage amplification.
    • The stimulator employs dual DACs for precise anodic and cathodic current generation with integrated charge balancing.

    Main Results:

    • The bidirectional neural interface achieved high signal-to-noise ratio (SNR) and spurious-free dynamic range (SFDR), exceeding 9-bit effective number of bits (ENOB).
    • In-vivo intracranial EEG recordings in rats validated performance against a commercial system.
    • Bidirectional operation was demonstrated through vagus nerve stimulation, recording cardiac modulation, and implementing closed-loop cardiac rhythm control.

    Conclusions:

    • The developed micropower neural interface offers direct digital readout and integrated stimulation, making it ideal for closed-loop neuromodulation.
    • This technology advances the potential for sophisticated brain-computer interfaces and therapeutic neurostimulation devices.