A CMOS Microelectrode Array System With Reconfigurable Sub-Array Multiplexing Architecture Integrating 24,320 Electrodes and 380 Readout Channels
- Authors
- Cha, Ji-Hyoung; Park, Jee-Ho; Park, Yongjae; Shin, Hyogeun; Hwang, Kyeong Seob; Cho, Il-Joo; Kim, Seong-Jin
- Issue Date
- 2022-12
- Publisher
- Institute of Electrical and Electronics Engineers
- Citation
- IEEE Transactions on Biomedical Circuits and Systems, v.16, no.6, pp.1044 - 1056
- Abstract
- This article presents a CMOS microelectrode array (MEA) system with a reconfigurable sub-array multiplexing architecture using the time-division multiplexing (TDM) technique. The system consists of 24,320 TiN electrodes with 17.7 mu m-pitch pixels and 380 column-parallel readout channels including a low-noise amplifier, a programmable gain amplifier, and a 10-b successive approximation register analog to digital converter. Readout channels are placed outside the pixel for high spatial resolution, and a flexible structure to acquire neural signals from electrodes selected by configuring in-pixel memory is realized. In this structure, a single channel can handle 8 to 32 electrodes, guaranteeing a temporal resolution from 5 kS/s to 20 kS/s for each electrode. A 128 x 190 MEA system was fabricated in a 110-nm CMOS process, and each readout channel consumes 81 mu W at 1.5-V supply voltage featuring input-referred noise of 1.48 mu V-rms without multiplexing and 5.4 mu V-rms with multiplexing at the action-potential band (300 Hz-10 kHz).
- Keywords
- LARGE-SCALE; BRAIN; CIRCUIT; NEURONS; INTERFACE; BIOSENSOR; DESIGN; PROBES; Electrodes; Neurons; Micromechanical devices; Recording; Monitoring; Spatial resolution; Microelectrodes; CMOS integrated circuits; Spatiotemporal phenomena; CMOS microelectrode array; column-parallel readout channel; in-pixel memory; neural recording; reconfigurable sub-array multiplexing; spatiotemporal resolution; time-division multiplexing
- ISSN
- 1932-4545
- URI
- https://pubs.kist.re.kr/handle/201004/114200
- DOI
- 10.1109/TBCAS.2022.3211275
- Appears in Collections:
- KIST Article > 2022
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.