Tawfik B, Durand DM (1994) Nonlinear parameter-estimation by linear association—application to a 5-parameter passive neuron model. IEEE Transactions on Biomed. Eng. , 41(5): 461–469.Tawfik B, Durand DM (1994)
Although the investigation of instructional leadership and teacher professional learning is well-documented in the literature, one overlooked question concerns the linear and nonlinear relationships between these two variables. This study aims to examine the linear and nonlinear relationships of principal inst...
A linear relationship (or linear association) is a statistical term used to describe the directly proportional relationship between a variable and a constant.
Finally, we tested a linear-nonlinear model that can achieve normalization of neural activity through saturating nonlinearities in the mapping from kinematics to neural activity. Neural activity (y, during the hold period) is modeled in terms of one-hot encoding of kinematics (u) as:y=A tanh(B...
and measures the degree of linear association between the excitation f(t) and response x(t). If the excitation and response are linearly related, then the coherence equals 1. If the excitation and response are not related, then the coherence equals 0. The coherence can be smaller than 1 if...
►nonlinearEddyViscosity ►NonSphereDragForce ►nonUniformField ►nonuniformTransformCyclicFvPatch ►nonuniformTransformCyclicFvPatchField ►nonuniformTransformCyclicFvsPatchField ►nonuniformTransformCyclicPointPatch ►nonuniformTransformCyclicPointPatchField ►nonuniformTransformCyclicPolyPatch ►noOp ...
To investigate the linear and nonlinear harmonics in the time histories, we use a simple phase-selection method. We examine the average sizes of linear and second-order components in each displacement signal, then apply bandpass filtering to separate the second-order contribution into a low frequenc...
Alcohol use was significantly associated with overweight/obesity among urban men (AOR=1.49; 95% CI: 1.09–2.04), while smoking showed a protective association in rural men (AOR=0.33; 95% CI: 0.13–0.86).#This study shows that urban–rural disparities in overweight/obesity among men are ...
"Novel Approach to Nonlinear/Non-Gaussian Bayesian State Estimation." IEEE Proceedings F on Radar and Signal Processing. Vol. 140, 1993, pp. 107–113. [5] Hastings, W. K. “Monte Carlo Sampling Methods Using Markov Chains and Their Applications.” Biometrika. Vol. 57, 1970, pp. 97–109...
features. they found that the pearson’s coefficient, which measures the strength and direction of the association, was larger than 0.83, similar to our own findings. similar to the findings of [ 26 , 28 , 29 ], our results indicate a decrease in the performance of motor tasks as ...