A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
The input-referred noise (IRN) is one of the most crucial performance indicators for the analog front-end (AFE) of neural recording devices. In this study, we present a novel design approach for a low-noise amplifier (LNA) based on the transistor optimization method in CMOS technology. Because flicker noise is predominant in neural recording applications, AFE has been designed to meet input-referred flicker noise specifications, whereas thermal noise contributions are monitored and controlleddoi:10.1109/access.2022.3168743 fatcat:zttl4ga6w5c6fk2v3uf63thj24