A 2 $\mu\hbox{W}$ 100 nV/rtHz Chopper-Stabilized Instrumentation Amplifier for Chronic Measurement of Neural Field Potentials

By T. Denison, K. Consoer, W. Santa, A. Avestruz, J. Cooley, Andy Kelly. IEEE Journal of Solid-State Circuits, 2007

403 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/fd567ca3cd9e1e67cb0b29f9db9b7c8d497cdd52

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Ali H. Shoeb
2. John V. Guttag

In Electrical and Electronic Engineering

1. Anantha P. Chandrakasan
2. Naveen Verma
3. John V. Guttag
4. Massimo Alioto
5. Mohamed F. Younis
6. Xuxun Liu
7. Deborah Estrin
8. Ian F. Akyildiz

Citations in the corpus

• A 1-V 450-nW Fully Integrated Programmable Biomedical Sensor Interface Chip (2009, background): “power, and area as demonstrated in [4], [5].”
• A Micro-Power EEG Acquisition SoC With Integrated Feature Extraction Processor for a Chronic Seizure Detection System (2010, methodology): “These designs, however, are susceptible to 1/f and popcorn noise sources [16].”
• Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust. (2016, neutral): “…in rodents (Lee et al., 2013; Szuts et al., 2011) and nonhuman primates (Foster et al., 2014; Schwarz et al., 2014; Yin et al., 2014), as well as mm-scale integrated circuits for neurosensing applications have been developed (Biederman et al., 2015; Denison et al., 2007; Muller et al., 2015).”