A 1024-Channel Simultaneous Electrophysiological and Electrochemical Neural Recording System With In-Pixel Digitization and Crosstalk Compensation
Simultaneous electrophysiological and chemical recording allows for multi-modal neural instrumentation and provides insights into chemical synapses and ion channels across the cell membrane. However, inter-modal interference can hinder highly synchronized recording in large-scale systems with high temporal and spatial resolution. In this work, we propose a 1024-channel lab-on-CMOS system for dual-modal neural recording with in-pixel digitization and interference suppression. A foreground calibration scheme with tunable capacitance is implemented in-pixel to compensate for the crosstalk between electrical and chemical recording. Active pixels for both electrical and chemical modalities are designed based on a pulse width modulation (PWM) analog-to-digital conversion scheme. CMOS-compatible post-processing is implemented to realize in-pixel electrodes and chemical sensing membranes. The prototype, implemented in a 180 nm CMOS technology, occupies a total area of 33 mm<sup>2</sup> with 1024 pixels, and each unit pixel includes one electrical recording site and two chemical recording sites, with dimensions of 150 $\mu$m $\times$ 130 $\mu$m. The total system power consumption is 19.68 mW at a frame rate of 9k and 3k for electrical and chemical imaging respectively. The in-vitro experiment demonstrated the concurrent high density electrophysilogical and electrochemical recording with sub millisecond temporal resolution.
Authors
- Yue Cao (ORCID: https://orcid.org/0000-0001-6948-7222)
- Songyu Han
- Timothy G. Constandinou (ORCID: https://orcid.org/0000-0001-9778-1162)
- Lin Yang (ORCID: https://orcid.org/0000-0001-8782-5731)
- Xinguo Wang (ORCID: https://orcid.org/0000-0002-2579-6805)
- Guoxing Wang (ORCID: https://orcid.org/0000-0002-0235-1475)
- Xing-Lei Song (ORCID: https://orcid.org/0000-0002-7638-2194)
- Yan Liu (ORCID: https://orcid.org/0000-0001-5616-9428)
- Peng Yan (ORCID: https://orcid.org/0000-0002-0341-4052)
- Lei Qian (ORCID: https://orcid.org/0000-0002-2128-9048)
- Chen Wang (ORCID: https://orcid.org/0000-0003-1610-9951)
- Pujia Xing (ORCID: https://orcid.org/0000-0003-2413-1753)
Institutions
- Shanghai Jiao Tong University (CN)
- ETH Zurich (CH)
- UK Dementia Research Institute (GB)
- Imperial College London (GB)
- KU Leuven (BE)
Publication Details
- Journal
- IEEE Transactions on Biomedical Circuits and Systems
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1109/tbcas.2024.3460388
- Citations
- 2
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.69