Descripción
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Measures of functional connectivity are commonly employed in neuroimaging research. Among the most popular measures is the Synchronization Likelihood which provides a non-linear estimate of the statistical dependencies between the activity time courses of different brain areas. One aspect which has limited a wider use of this algorithm is the fact that it is very computationally and memory demanding. In the present work we propose new implementations and parallelizations of the Synchronization Likelihood ... | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Neuroinformatics |
ISSN
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1539-2791 |
Factor de impacto JCR
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3,136 |
Información de impacto
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Datos JCR del año 2012 |
Volumen
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DOI
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Número de revista
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Desde la página
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1 |
Hasta la página
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14 |
Mes
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DICIEMBRE |
Ranking
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