@inproceedings{38feea7271864244865f19e821617542,
title = "A low-noise fully differential recycling folded cascode neural amplifier",
abstract = "This paper describes the design of an amplifier to be used as part of a neural recording system. The architecture of this amplifier was based on a fully differential folded cascode (FDFC) amplifier and adapted to a recycling architecture [1] which reuses currents in order to achieve better performance. Furthermore, as we are designing a neural amplifier, a low input-referred noise is required due to the small amplitude of neural signals, as they could be as small as 1 μV. The recycling architecture was optimized for low-noise, and simulated in AMS 0.35 μm CMOS process. An input-referred noise of 1.16 μVrms was achieved while consuming 66.03 μW from a 3.3 V supply, which corresponds to NEF=2.58. The open-loop gain of the amplifier is 111.25 dB and the closed-loop gain is 42.10 dB with a bandwidth of 6.02 kHz.",
keywords = "Folded Cascode, Fully Differential, Low Noise, Neural Amplifier, Recycling",
author = "Sammy Cerida and Erick Raygada and Carlos Silva and Manuel Monge",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 6th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2015 ; Conference date: 24-02-2015 Through 27-02-2015",
year = "2015",
month = sep,
day = "9",
doi = "10.1109/LASCAS.2015.7250497",
language = "English",
series = "2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Alfredo Arnaud and Fernando Silveira and Lorena Garcia",
booktitle = "2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings",
}