A 2 × 2 Neural Amplifier Macro-Pixel with Shared DC Servo Loop for High-Density Brain-Computer Interfaces

Brain-computer interfaces of the future will be recorded from tens of thousands of high-density electrodes. This paper presents a neural amplifier for next-generation single-cell resolution BCIs. The amplifier leverages spatial signal correlation to introduce a novel shared DC servo loop to improve area efficiency while maintaining state-of-the-art power efficiency. Post-layout simulations in 40 nm CMOS technology achieve a $\mathbf{5 0} \mathrm{dB}$ gain in a $[0.1-5.2] \mathrm{kHz}$ bandwidth. The amplifier consumes 920 nW and achieves a total input-referred noise of $8 \mu \mathrm{~V}_{\text {rms}}$ while occupying only $35 \mu \mathrm{~m} \times 35 \mu \mathrm{~m}$ per recording channel.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/biocas61083.2024.10798201
Citations
3
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.03
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article

A 2 × 2 Neural Amplifier Macro-Pixel with Shared DC Servo Loop for High-Density Brain-Computer Interfaces

Dante G. Muratore, Yen‐Chieh Ouyang, Bakr H. Abdelgaliel, Marvin Exalto
3 citations
EEG and Brain-Computer Interfaces
1.03
article

A 2 × 2 Neural Amplifier Macro-Pixel with Shared DC Servo Loop for High-Density Brain-Computer Interfaces

Dante G. Muratore, Yen‐Chieh Ouyang, Bakr H. Abdelgaliel, Marvin Exalto
article en
3 citations

Abstract

Brain-computer interfaces of the future will be recorded from tens of thousands of high-density electrodes. This paper presents a neural amplifier for next-generation single-cell resolution BCIs. The amplifier leverages spatial signal correlation to introduce a novel shared DC servo loop to improve area efficiency while maintaining state-of-the-art power efficiency. Post-layout simulations in 40 nm CMOS technology achieve a $\mathbf{5 0} \mathrm{dB}$ gain in a $[0.1-5.2] \mathrm{kHz}$ bandwidth. The amplifier consumes 920 nW and achieves a total input-referred noise of $8 \mu \mathrm{~V}_{\text {rms}}$ while occupying only $35 \mu \mathrm{~m} \times 35 \mu \mathrm{~m}$ per recording channel.

Delft University of Technology (NL)
Affordable and clean energy
Openalex Percentile: Top 23%
EEG and Brain-Computer Interfaces
1.03
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