نتایج جستجو برای: symbolic co activation

تعداد نتایج: 773205  

2017
Adam M. Goodman Yun Wang Wi-Suk Kwon Sang-Eun Byun Jeffrey S. Katz Gopikrishna Deshpande

Consumer buying motivations can be distinguished into three categories: functional, experiential, or symbolic motivations (Keller, 1993). Although prior neuroimaging studies have examined the neural substrates which enable these motivations, direct comparisons between these three types of consumer motivations have yet to be made. In the current study, we used 7 Tesla (7T) functional magnetic re...

2011
Helga Krinzinger Jan Willem Koten Houpand Horoufchin Nils Kohn Dominique Arndt Katleen Sahr Kerstin Konrad Klaus Willmes

A possible functional role of finger representations for the development of early numerical cognition has been the subject of recent debate; however, until now, only behavioral studies have directly supported this view. Working from recent models of number processing, we focused on the neural networks involved in numerical tasks and their relationship to the areas underlying finger representati...

2018
Attila Krajcsi Gábor Lengyel Petia Kojouharova

HIGHLIGHTS We test whether symbolic number comparison is handled by an analog noisy system.Analog system model has systematic biases in describing symbolic number comparison.This suggests that symbolic and non-symbolic numbers are processed by different systems. Dominant numerical cognition models suppose that both symbolic and non-symbolic numbers are processed by the Analog Number System (ANS...

Journal: :Developmental Cognitive Neuroscience 2012
Stephanie Bugden Gavin R. Price D. Adam McLean Daniel Ansari

The neural foundations of arithmetic learning are not well understood. While behavioral studies have revealed relationships between symbolic number processing and individual differences in children's arithmetic performance, the neurocognitive mechanisms that bind symbolic number processing and arithmetic are unknown. The current fMRI study investigated the relationship between children's brain ...

Introduction: The purpose of this research is to identify the components of symbolic capital and to examine the relationship between this capital and consumer purchasing behavior in sporting goods stores.Methodology: This research is descriptive-survey. In the section identifying the components of the symbolic capital of the statistical society, 19 university professors and university exp...

2005
Michael D. Schmidt Hod Lipson

We introduce an estimation of distribution algorithm (EDA) based on co-evolution of fitness maximizers and fitness predictors for improving the performance of evolutionary search when evaluations are prohibitively expensive. Fitness predictors are lightweight objects which, given an evolving individual, heuristically approximate the true fitness. The predictors are trained by their ability to c...

1998
Roland ALTON-SCHEIDL Gernot TSCHERTEU

Based on user requirements investigations of typical groupware users, we have elaborated a rating model for collaborative message filtering. In this model, evaluating contributions has a direct effect to the organisational structure of virtual co-operative groups. The model fosters self-organisation and vitalization. The dynamic incentive mechanism mirrors real group dynamics to virtual communi...

2014
Alexander POTRYKUS Alexander Potrykus

We consider pseudodifferential operators that have non-smooth negative definite symbols and develop a corresponding symbolic calculus. Combining this symbolic calculus with the use of non-smooth symbols that are asymptotically constant in the co-variable we succeed in finding a parametrix for a certain pseudodifferential equation. This in turn allows us to show that some pseudodifferential oper...

1986
Gerard J. Holzmann

Tools for performing automated analyses of data communication protocols are frequently based on symbolic execution algorithms that search the behavior of finite state machine models. The symbolic execution algorithms, however, are inherently restricted in the size of the models that they can handle. They work well for models that generate up to 100,000 system states. Beyond that the time and sp...

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