A Reconfigurable Sub-Array Multiplexing Microelectrode Array System With 24,320 Electrodes and 380 Readout Channels for Investigating Neural Communication

Cha, Ji-Hyoung; Park, Jee Ho; Park, Yongjae; Shin, Hyogeun; Hwang, Kyeong Seob; Cho, II-Joo; Kim, Seong‐Jin

doi:10.1109/isscc42614.2022.9731590

Cited by 6 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More recent work has explored methods to further improve the reconfigurability and performance of high-resolution readout channels. 120 Outlook for integrated microelectrode arrays CMOS-integrated MEAs represent an extremely active research field within the circuit design community. The emergence of CMOS MEA startup companies such as MaxWell Biosystems AG (Zurich, Switzerland), 3Brain AG (Wadenswil, Switzerland), and Cytotronics (Cambridge, MA, USA) in recent years indicates the potential for future growth in this area.…”

Section: Scalable Multielectrode Array Architecturesmentioning

confidence: 99%

See 1 more Smart Citation

The next generation of hybrid microfluidic/integrated circuit chips: recent and upcoming advances in high-speed, high-throughput, and multifunctional lab-on-IC systems

2023

View full text Add to dashboard Cite

show abstract

Section: Scalable Multielectrode Array Architecturesmentioning

confidence: 99%

“…More recent work has explored methods to further improve the reconfigurability and performance of high-resolution readout channels. 120…”

Section: High-performance Assays Using Cmos-integrated Microfluidic C...mentioning

confidence: 99%

The next generation of hybrid microfluidic/integrated circuit chips: recent and upcoming advances in high-speed, high-throughput, and multifunctional lab-on-IC systems

2023

View full text Add to dashboard Cite

show abstract

A high‐performance asynchronous readout circuit with cascade function for a neural recording micro‐electrode array

Feng,

Cai,

Huang

2024

Electronics Letters

View full text Add to dashboard Cite

The data‐driven machine learning technology used for neural decoding emphasizes the requirements of in vivo and in vitro neural signal acquisition with high spatial and temporal resolution. However, micro‐electrode arrays (MEAs) that simultaneously achieve high spatial and temporal resolution neural signal acquisition are not yet available. Meanwhile, the high data bandwidth of large‐scale MEA brings challenges in power consumption, data transmission, storage, and neural signal processing. This research aims to improve the spatial and temporal resolution of MEA, reduce the cost and time of large‐scale MEA customization through cascading, and reduce the bandwidth of large‐scale MEA through spike compression. Firstly, based on in‐pixel spike detection, a row‐based neural spike readout mechanism and related array circuit to improve the neural spike readout performance and temporal resolution of neural signal acquisition is proposed. To further enhance the spatial resolution and reduce the risk of large‐scale MEA fabrication, the cascading capability of the readout circuit is explored. Lastly, spatial correlation‐based neural spike encoding is proposed to reduce the data bandwidth, achieving a 5.2× compression rate. This is a study on implementing large‐scale MEA through cascaded readout circuits and novel study to utilize the spatial correlation between detected neural spikes for further compression.

show abstract

A CMOS Microelectrode Array System With Reconfigurable Sub-Array Multiplexing Architecture Integrating 24,320 Electrodes and 380 Readout Channels

Cha

Park

et al. 2022

IEEE Trans. Biomed. Circuits Syst.

View full text Add to dashboard Cite

A Reconfigurable Sub-Array Multiplexing Microelectrode Array System With 24,320 Electrodes and 380 Readout Channels for Investigating Neural Communication

Cited by 6 publications

References 3 publications

The next generation of hybrid microfluidic/integrated circuit chips: recent and upcoming advances in high-speed, high-throughput, and multifunctional lab-on-IC systems

The next generation of hybrid microfluidic/integrated circuit chips: recent and upcoming advances in high-speed, high-throughput, and multifunctional lab-on-IC systems

A high‐performance asynchronous readout circuit with cascade function for a neural recording micro‐electrode array

A CMOS Microelectrode Array System With Reconfigurable Sub-Array Multiplexing Architecture Integrating 24,320 Electrodes and 380 Readout Channels

Contact Info

Product

Resources

About