A 2.5–20 kS/s In-Pixel Direct Digitization ECoG Front End With Submillisecond Stimulation Artifact Recovery
Neural stimulation is used routinely to diagnose and treat neurological disorders. However, the stimulation artifacts are problematic for closed-loop neuromodulation therapy, which dynamically adjusts the electrical stimulation parameters based on real-time feedback from recording neural activity, because they can cause saturation or prolonged recovery times in traditional recording front-ends. This paper presents a per-pixel 2<sup>nd</sup>-order <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mtext>ΔΣ</mml:mtext></mml:mrow> </mml:math> ADC for direct digitization of neural signals, which addresses the stimulation artifact recovery time in voltage-controlled oscillator (VCO)-based quantizers with a fast-recovery, overrange-detecting phase quantizer. The ADC uses a pseudo-virtual ground feedforwarding (PVG FF) technique and a complementary input <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msub><mml:mi>G</mml:mi> <mml:mtext>m</mml:mtext></mml:msub> <mml:mtext>-</mml:mtext> <mml:mi>C</mml:mi></mml:mrow> </mml:math> filter with per-pixel decimation. It supports four recording modes covering 2.5-20 kSps through a power-efficient, bandwidth-scalable continuous time <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mtext>ΔΣ</mml:mtext></mml:mrow> </mml:math> modulator. Fabricated in a 180-nm CMOS process, this 300×300 μm<sup>2</sup> ADC achieves >250× faster (0.05-0.4 ms) stimulation artifact recovery time, enabling in-stimulation recording. Recording with artifact tolerance was demonstrated through an <i>in vivo</i> whisker barrel rat experiment.
Authors
- Ritwik Vatsyayan (ORCID: https://orcid.org/0000-0001-9192-3836)
- E. Fogleman
- Hanh‐Phuc Le (ORCID: https://orcid.org/0000-0003-0021-3682)
- Andrew Bourhis
- Corentin Pochet (ORCID: https://orcid.org/0000-0002-3826-340X)
- Drew A. Hall (ORCID: https://orcid.org/0000-0003-0674-074X)
- Shadi A. Dayeh (ORCID: https://orcid.org/0000-0002-1756-1774)
- S Chethan
- Ian Galton (ORCID: https://orcid.org/0000-0001-9145-0055)
- Asish Koruprolu
- Aditi Jain (ORCID: https://orcid.org/0000-0002-2539-3547)
- Zhaoyi Liu (ORCID: https://orcid.org/0000-0001-6086-3412)
- Paul Botros
Institutions
- University of California San Diego (US)
Publication Details
- Journal
- IEEE Journal of Solid-State Circuits
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1109/jssc.2024.3508544
- Citations
- 3
- Primary Topic
- Advanced Fluorescence Microscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.99
Funders
- National Institutes of Health