Results 11 to 20 of about 38,455 (230)
A feedforward mechanism for human-like contour integration. [PDF]
Deep neural network models provide a powerful experimental platform for exploring core mechanisms underlying human visual perception, such as perceptual grouping and contour integration-the process of linking local edge elements to arrive at a unified ...
Fenil R Doshi +2 more
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Do We Need Another Neural Correlate of Contour Integration? [PDF]
Gilad and colleagues use an elegant combination of voltage-sensitive dyes and high temporal and spatial resolution optical imaging to visualize a differential response to collinear contour elements in monkey V1.
Lee de-Wit, Dietrich Samuel Schwarzkopf
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Perceptual load modulates contour integration in conscious and unconscious states [PDF]
Previous research has documented that contour detection and integration may either be affected by local features such as the distances between elements or by high-level cognitive factors such as attention in our visual system. Less is known about how low
Kaiwen Cheng +4 more
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An Event-Related Potential Examination of Contour Integration Deficits in Schizophrenia [PDF]
Perceptual organization, which refers to the ability to integrate fragments of stimuli to form a representation of a whole edge, part, or object, is impaired in schizophrenia. A contour integration paradigm, involving detection of a set of Gabor patches
Pamela D Butler +17 more
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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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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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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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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
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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.
openaire +2 more sources
Resultants and contour integrals [PDF]
9 ...
Morozov, A., Shakirov, Sh.
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