| Literature DB >> 34543202 |
Jose Cisneros-Fernandez, Ramon Garcia-Cortadella, Xavi Illa, Javier Martinez-Aguilar, Jens Paetzold, Rainer Mohrlok, Marius Kurnoth, Christoph Jeschke, Lluis Teres, Jose A Garrido, Anton Guimera-Brunet, Francisco Serra-Graells.
Abstract
This paper presents a 1024-channel neural read-out integrated circuit (ROIC) for solution-gated GFET sensing probes in massive μECoG brain mapping. The proposed time-domain multiplexing of GFET-only arrays enables low-cost and scalable hybrid headstages. Low-power CMOS circuits are presented for the GFET analog frontend, including a CDS mechanism to improve preamplifier noise figures and 10-bit 10-kS/s A/D conversion. The 1024-channel ROIC has been fabricated in a standard 1.8-V 0.18- μm CMOS technology with 0.012 mm 2 and 36 μ W per channel. An automated methodology for the in-situ calibration of each GFET sensor is also proposed. Experimental ROIC tests are reported using a custom FPGA-based μECoG headstage with 16×32 and 32×32 GFET probes in saline solution and agar substrate. Compared to state-of-art neural ROICs, this work achieves the largest scalability in hybrid platforms and it allows the recording of infra-slow neural signals.Entities:
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Year: 2021 PMID: 34543202 DOI: 10.1109/TBCAS.2021.3113556
Source DB: PubMed Journal: IEEE Trans Biomed Circuits Syst ISSN: 1932-4545 Impact factor: 3.833