Hu, Meng Liang, Hualou Performance of the proposed approach at different signal-noise-ratios (SNRs). <p>SNR is systematically varied by changing the variance of the white noise superimposed in the trivariate data. At each SNR level, a data set of 100 trials is generated. The proposed method is applied to each trial to measure the signal identification performance, as quantified by both Type I error and Type II error.</p> Computational biology;computational neuroscience;Circuit models;neuroscience;Mathematical and statistical techniques;Multivariate data analysis;Simulation and modeling;mathematical modeling;signal-noise-ratios 2014-06-16
    https://plos.figshare.com/articles/figure/_Performance_of_the_proposed_approach_at_different_signal_noise_ratios_SNRs_/1058893
10.1371/journal.pone.0099793.g004