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Discrimination Power of Measures of Comparison
, 2000
"... This paper is based on a framework [3] for a formalization of measures of comparison of fuzzy objects. The purpose is to describe the behaviour of measures of comparison within a given family in order to facilitate the choice of a particular measure. It can be done owing to the discrimination power ..."
Abstract
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Cited by 7 (3 self)
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This paper is based on a framework [3] for a formalization of measures of comparison of fuzzy objects. The purpose is to describe the behaviour of measures of comparison within a given family in order to facilitate the choice of a particular measure. It can be done owing to the discrimination power of a measure. c 2000 Elsevier Science B.V. All rights reserved. Keywords: Measures of comparison; Discrimination power 1.
Brain mechanisms underlying perceptual causality
, 2004
"... Functional magnetic resonance imaging (fMRI) was used to examine the neural correlates of perceptual causality. Participants were imaged while viewing alternating blocks of causal events in which a ball collides with, and causes movement of another ball, versus non-causal events in which a spatial o ..."
Abstract
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Functional magnetic resonance imaging (fMRI) was used to examine the neural correlates of perceptual causality. Participants were imaged while viewing alternating blocks of causal events in which a ball collides with, and causes movement of another ball, versus non-causal events in which a spatial or a temporal gap precedes the movement of a second ball. There were significantly higher levels of relative activation in the right middle frontal gyrus and the right inferior parietal lobule for causal relative to non-causal events. Furthermore, when the differential effects of spatial and temporal incontiguities were subtracted from the contiguous stimuli, we observed both common (right prefrontal) and unique (right parietal and right temporal) regions of activation as a function of spatial and temporal processing of contiguity, respectively. Taken together, these data provide a means to help determine how the visual system extracts causality from dynamic visual information in the environment using spatial and temporal cues. D 2004 Elsevier B.V. All rights reserved.

