Your browser doesn't support javascript.
loading
Canonical maximization of coherence: A novel tool for investigation of neuronal interactions between two datasets.
Vidaurre, C; Nolte, G; de Vries, I E J; Gómez, M; Boonstra, T W; Müller, K-R; Villringer, A; Nikulin, V V.
Afiliación
  • Vidaurre C; Dept of Statistics, Informatics and Mathematics, Public University of Navarre, Pamplona, Spain; Machine Learning Group, EE & Computer Science Faculty, TU-Berlin, Germany. Electronic address: carmen.vidaurre@unavarra.es.
  • Nolte G; Dept. of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • de Vries IEJ; Faculty of Behavioural and Movement Sciences, Dept. of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, the Netherlands.
  • Gómez M; Dept of Statistics, Informatics and Mathematics, Public University of Navarre, Pamplona, Spain.
  • Boonstra TW; Faculty of Psychology and Neuroscience, Dept. of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, the Netherlands; Neuroscience Research Australia, Sydney, Australia.
  • Müller KR; Machine Learning Group, EE & Computer Science Faculty, TU-Berlin, Germany; Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea; Max Planck Institute for Informatics, Saarbrücken, Germany.
  • Villringer A; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany.
  • Nikulin VV; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Russian Federation; Neurophysics Group, Department of Neurology, Campus Benjamin Franklin, Charité-Un
Neuroimage ; 201: 116009, 2019 11 01.
Article en En | MEDLINE | ID: mdl-31302256

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Encéfalo / Músculo Esquelético / Modelos Neurológicos / Neuronas Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Encéfalo / Músculo Esquelético / Modelos Neurológicos / Neuronas Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos