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Ji-Hyoung Cha
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2020 – today
- 2022
- [j3]Yongjae Park
, Ji-Hyoung Cha, Su-Hyun Han
A 3.8-µW 1.5-NEF 15-GΩ Total Input Impedance Chopper Stabilized Amplifier With Auto-Calibrated Dual Positive Feedback in 110-nm CMOS. IEEE J. Solid State Circuits 57(8): 2449-2461 (2022) - [j2]Ji-Hyoung Cha
A CMOS Microelectrode Array System With Reconfigurable Sub-Array Multiplexing Architecture Integrating 24,320 Electrodes and 380 Readout Channels. IEEE Trans. Biomed. Circuits Syst. 16(6): 1044-1056 (2022) - [c4]Ji-Hyoung Cha, Jee-Ho Park
A Reconfigurable Sub-Array Multiplexing Microelectrode Array System With 24, 320 Electrodes and 380 Readout Channels for Investigating Neural Communication. ISSCC 2022: 342-344 - 2021
- [c3]Yongjae Park, Ji-Hyoung Cha, Su-Hyun Han, Jee-Ho Park
A 3.8-μW/Ch, 15-GΩ Total Input Impedance Chopper Stabilized Amplifier with Dual Positive Feedback Loops and Auto-calibration Scheme. VLSI Circuits 2021: 1-2
2010 – 2019
- 2019
- [j1]Seong-Jin Kim
A Sub-µW/Ch Analog Front-End for Δ-Neural Recording With Spike-Driven Data Compression. IEEE Trans. Biomed. Circuits Syst. 13(1): 1-14 (2019) - [c2]Taeju Lee, Jee-Ho Park
A Multimodal Multichannel Neural Activity Readout IC with 0.7μW/Channel Ca2+-Probe-Based Fluorescence Recording and Electrical Recording. VLSI Circuits 2019: 290- - 2018
- [c1]Taeju Lee, Ji-Hyoung Cha, Su-Hyun Han, Seong-Jin Kim, Minkyu Je:
A 4.86 µW/Channel Fully Differential Multi-Channel Neural Recording System. ISOCC 2018: 68-69
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