Journal: Neuron

Article Title: Emergent elements of inspiratory rhythmogenesis: network synchronization and synchrony propagation

doi: 10.1016/j.neuron.2020.02.005

Figure Lengend Snippet: KEY RESOURCES TABLE

Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Antibodies N/A Bacterial and Virus Strains N/A Biological Samples N/A Chemicals, Peptides, and Recombinant Proteins (−)Bicuculline methiodide Tocris Bioscience Cat#2503; CAS#40709–69-1 Strychnine hydrochloride Tocris Bioscience Cat#2785; CAS# 1421–86-9 CGP55845 hydrochloride Tocris Bioscience Cat# 1248; CAS# 149184–22-5 Critical Commercial Assays N/A Deposited Data N/A Experimental Models: Cell Lines N/A Experimental Models: Organisms/Strains Mouse: SST-Cre also known as Sst-IRES-Cre The Jackson Laboratory RRID: IMSR_JAX:013044 Mouse: Ai14 Cre-reporter The Jackson Laboratory RRID: IMSR_JAX:007914 Oligonucleotides N/A Recombinant DNA N/A Software and Algorithms Wavelet analysis software Torrence and Compo, 1998 http://paos.colorado.edu/research/wavelets/ NEURON Simulation environment Hines and Carnevale, 1997 https://www.neuron.yale.edu/neuron/ Igor Pro version 7.4 WaveMetrics Inc https://www.wavemetrics.com R Software The R Project for Statistical Computing www.r-project.org Other N/A Open in a separate window KEY RESOURCES TABLE.

Techniques: Virus, Recombinant, Software

Journal: IEEE Journal of Translational Engineering in Health and Medicine

Article Title: Comparative Study of Wavelet-Based Unsupervised Ocular Artifact Removal Techniques for Single-Channel EEG Data

doi: 10.1109/JTEHM.2016.2544298

Figure Lengend Snippet: Graphical representation of DWT decomposition. (HPF: High pass filter, LPF: Low pass filter.)

Article Snippet: NMSE is computed in dB using the equation: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}\begin{equation*} NMSE=20logE\left\{{\frac {\sum \left [{ x1\left ({ i }\right )-x2\left ({ i }\right ) }\right ]^{2}}{\sum \left [{ x1\left ({ i }\right ) }\right ]^{2}}}\right\} \end{equation*}\end{document} Time and frequency components can be analyzed simultaneously using the wavelet decomposition tool of EEGLAB toolbox (Matlab, CA, US).

Techniques:

Journal: IEEE Journal of Translational Engineering in Health and Medicine

Article Title: Comparative Study of Wavelet-Based Unsupervised Ocular Artifact Removal Techniques for Single-Channel EEG Data

doi: 10.1109/JTEHM.2016.2544298

Figure Lengend Snippet: Comparison of a section of EEG data from AF3 channel (Dataset 1) before and after denoising using SWT and DWT decomposition techniques with coif3 wavelet.

Article Snippet: NMSE is computed in dB using the equation: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}\begin{equation*} NMSE=20logE\left\{{\frac {\sum \left [{ x1\left ({ i }\right )-x2\left ({ i }\right ) }\right ]^{2}}{\sum \left [{ x1\left ({ i }\right ) }\right ]^{2}}}\right\} \end{equation*}\end{document} Time and frequency components can be analyzed simultaneously using the wavelet decomposition tool of EEGLAB toolbox (Matlab, CA, US).

Techniques: Comparison