Results 21 to 30 of about 41,472 (242)
Ensemble Empirical Mode Decomposition Analysis of EEG Data Collected during a Contour Integration Task. [PDF]
We discuss a data-driven analysis of EEG data recorded during a combined EEG/fMRI study of visual processing during a contour integration task. The analysis is based on an ensemble empirical mode decomposition (EEMD) and discusses characteristic features
Karema Al-Subari +5 more
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Contour integration impairment in schizophrenia and first episode psychosis: State or trait? [PDF]
Keith A Feigenson +2 more
exaly +2 more sources
Resultants and contour integrals [PDF]
9 ...
Morozov, A., Shakirov, Sh.
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This article presents a comparison between layered models of a railway track. All analyses are based on semianalytical approaches to show how powerful they can be.
Zuzana Dimitrovová
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Contour Integration for Eigenvector Nonlinearities
24 pages, 6 ...
Claes, Rob +2 more
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The Analysis of Contour Integrals [PDF]
For any n, the contour integral s2 = −λ, is associated with differential equation d2y(x)/dx2 + (λ + n(n + 1)/cosh2x)y(x) = 0. Explicit solutions for n = 1 are obtained. For n = 1, eigenvalues, eigenfunctions, spectral function, and eigenfunction expansions are explored.
Tanriverdi, Tanfer, Mcleod, JohnBryce
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Numerical contour integration for loop integrals [PDF]
A fully numerical method to calculate loop integrals, a numerical contour-integration method, is proposed. Loop integrals can be interpreted as a contour integral in a complex plane for an integrand with multi-poles in the plane. Stable and efficient numerical integrations an along appropriate contour can be performed for tensor integrals as well as ...
Yoshimi Kurihara, Toyohisa Kaneko
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In this article, we propose a localized transform based meshless method for approximating the solution of the 2D multi-term partial integro-differential equation involving the time fractional derivative in Caputo’s sense with a weakly singular kernel ...
Kamran Kamran +3 more
doaj +1 more source
Ballasted railway tracks can be modeled using reduced/simplified models composed of several layers of discrete components. This paper deals with the two-layer model, which is very popular due to its computational efficiency.
Zuzana Dimitrovová
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Bayesian contour integration [PDF]
The process by which the human visual system parses an image into contours, surfaces, and objects--perceptual grouping--has proven difficult to capture in a rigorous and general theory. A natural candidate for such a theory is Bayesian probability theory, which provides optimal interpretations of data under conditions of uncertainty.
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