Computational approaches to fMRI analysis

A revolution is underway in cognitive neuroscience, where tools and techniques from computer science and the tech industry are helping to extract more meaningful cognitive signals from noisy and increasingly large fMRI datasets. In this paper, the authors review the cutting edge of such computationa...

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Veröffentlicht in:	Nature neuroscience Jg. 20; H. 3; S. 304 - 313
Hauptverfasser:	Cohen, Jonathan D, Daw, Nathaniel, Engelhardt, Barbara, Hasson, Uri, Li, Kai, Niv, Yael, Norman, Kenneth A, Pillow, Jonathan, Ramadge, Peter J, Turk-Browne, Nicholas B, Willke, Theodore L
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Nature Publishing Group US 01.03.2017 Nature Publishing Group
Schlagworte:	59/36 631/378/2649 631/477 Analysis Animal Genetics and Genomics Behavioral Sciences Biological Techniques Biomedicine Brain - physiology Brain Mapping - methods Cognition Cognition - physiology Computer engineering Computer science Control theory Hemodynamics Humans Learning - physiology Machine learning Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging Methods Models, Neurological Neurobiology Neuroimaging Neurosciences perspective Software United States United States > US New Jersey
ISSN:	1097-6256, 1546-1726, 1546-1726
Online-Zugang:	Volltext
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