<p>(A, C, E) Temporal-frequency characteristics of the simulated dataset. (B, D, F) Spatial characteristics of the simulated dataset. denotes the spontaneous fluctuations, the global noise 1 (i.e., the systemic physiological noises), and the global noise 2 (i.e., the motion artifact).</p
<p>The metrics are (A) Bifurcation, or the number of transitions between phase-locked and phase-slip...
The importance of temporal information versus place information in frequency analysis by the ear is ...
<p>The spatial distribution parameters of the simulated EMG frames (MEAN±SD).</p
<p>Characteristics of simulated and empirical datasets having different spatial patterns.</p
Example MNIST stimuli at different noise levels, from left to right: 0%, 50%, 75%, 88%, 94%, 97%. In...
(A) Pictorial representation of the measurement distribution showing how measurement noise varies as...
<p>(a) Root Mean Square Fluctuation (RMSF), RMSF of simulations on human model (blue and green) and ...
Residual fluctuations produced in typical experimental methodologies are examined as correlated nois...
<p>Antagonism pattern p-value variation as function of sample number for different level of noise (r...
<p>The dynamics is noiseless for 2 s, and noisy for the rest of the simulations. <b>a</b>, <b>c</b>,...
<p>Raw data for the simulation study " Sparse periodicity-based auditory features explain human perf...
<p>A) Means of the 50 estimations versus SD of Gaussian noises. B) Accuracy rate versus SD of Gaussi...
<p>(A) Noise masked gratings in different spatial frequency conditions (<i>N<sub>ext</sub></i> = 0.3...
<p>a) Synchronous Stroking: Distributions are the likelihoods representing the objective stimulus lo...
<p>A: Right: Statistical parametric maps of the audio-tactile incongruency response and the musician...
<p>The metrics are (A) Bifurcation, or the number of transitions between phase-locked and phase-slip...
The importance of temporal information versus place information in frequency analysis by the ear is ...
<p>The spatial distribution parameters of the simulated EMG frames (MEAN±SD).</p
<p>Characteristics of simulated and empirical datasets having different spatial patterns.</p
Example MNIST stimuli at different noise levels, from left to right: 0%, 50%, 75%, 88%, 94%, 97%. In...
(A) Pictorial representation of the measurement distribution showing how measurement noise varies as...
<p>(a) Root Mean Square Fluctuation (RMSF), RMSF of simulations on human model (blue and green) and ...
Residual fluctuations produced in typical experimental methodologies are examined as correlated nois...
<p>Antagonism pattern p-value variation as function of sample number for different level of noise (r...
<p>The dynamics is noiseless for 2 s, and noisy for the rest of the simulations. <b>a</b>, <b>c</b>,...
<p>Raw data for the simulation study " Sparse periodicity-based auditory features explain human perf...
<p>A) Means of the 50 estimations versus SD of Gaussian noises. B) Accuracy rate versus SD of Gaussi...
<p>(A) Noise masked gratings in different spatial frequency conditions (<i>N<sub>ext</sub></i> = 0.3...
<p>a) Synchronous Stroking: Distributions are the likelihoods representing the objective stimulus lo...
<p>A: Right: Statistical parametric maps of the audio-tactile incongruency response and the musician...
<p>The metrics are (A) Bifurcation, or the number of transitions between phase-locked and phase-slip...
The importance of temporal information versus place information in frequency analysis by the ear is ...
<p>The spatial distribution parameters of the simulated EMG frames (MEAN±SD).</p
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