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Related Experiment Video

Updated: Feb 9, 2026

Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording
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Current-Efficient Preamplifier Architecture for CMRR Sensitive Neural Recording Applications.

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    Summary
    This summary is machine-generated.

    This study presents a novel neural amplifier architecture for recording brain signals from weakly electric fish, even amidst strong interference. The integrated design achieves high common-mode rejection, enabling clear neural recordings in challenging, unshielded environments.

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    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Electrical Engineering

    Background:

    • Neural recordings often face challenges from high-amplitude common-mode interference, particularly in applications like studying weakly electric fish or using cuff electrodes.
    • Existing neural amplifiers struggle to isolate weak neural signals (local field potentials, unitary signals) from overwhelming background noise.

    Purpose of the Study:

    • To develop and validate an integrated neural amplifier architecture for in-vivo recording of neural signals from the Gymnotus omarorum brainstem.
    • To achieve high common-mode rejection ratio (CMRR) and low noise performance in an unshielded environment.

    Main Methods:

    • Designed a novel integrated neural amplifier architecture featuring a single-stage transconductor circuit.
    • Fabricated the neural preamplifier using a 0.5 µm CMOS process.
    • Evaluated performance through electrical characterization and in-vivo recordings from weakly electric fish.

    Main Results:

    • The amplifier achieved a gain of 49.5 dB, bandwidth of 13 Hz to 9.8 kHz, and equivalent input noise of 1.88 µV.
    • Demonstrated a high CMRR of 87 dB and a Noise Efficiency Factor of 2.1.
    • In-vivo recordings from Gymnotus omarorum showed comparable or superior performance to commercial systems.

    Conclusions:

    • The proposed integrated neural amplifier architecture effectively acquires biopotential signals from high-amplitude common-mode interference.
    • The design offers a viable solution for neural recordings in challenging, unshielded environments, performing competitively with state-of-the-art systems.