Title :
Low-voltage fully differential CMOS neural amplifier based on CFOA
Author :
ElGuindy, Mona ; Madian, Ahmed H.
Author_Institution :
Electr. & Electron. Eng. Dept., German Univ. in Cairo, Cairo, Egypt
Abstract :
In this paper, a low voltage fully differential neural amplifier based on current feedback operational amplifier (CFOA) is introduced. The gains of LFP and spikes signals can be tuned using the amplifiers capacitors. The designed amplifier provides a maximum output gain up to 50 dB, a total power consumption of 4.218 nW, and an input referred noise of 3.38 μV/Hz1/2 and 5.96 μV/Hz1/2 for LFP signals and spikes signals, respectively. Moreover, the lower cutoff frequencies of the amplifier can be tuned using the pseudo-resistor. The neural amplifier has been simulated using LTspice with a CMOS technology of 90nm provided from MOSIS and power supply voltage of ±0.6V. The simulation results is demonstrated and discussed. Also, a performance comparison between the proposed amplifier and other neural amplifiers is presented.
Keywords :
CMOS integrated circuits; current-mode circuits; differential amplifiers; neural nets; operational amplifiers; CFOA; CMOS technology; LFP signals; LTspice; MOSIS; amplifiers capacitors; current feedback operational amplifier; low-voltage fully differential CMOS neural amplifier; power 4.218 nW; pseudoresistor; size 90 nm; spikes signals; CMOS integrated circuits; Capacitors; Conferences; Cutoff frequency; Gain; Noise; Operational amplifiers;
Conference_Titel :
Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on
Conference_Location :
Abu Dhabi
DOI :
10.1109/ICECS.2013.6815467
