Formal Models of the Network Co-occurrence Underlying Mental Operations

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Danilo Bzdok; Gaël Varoquaux; Olivier Grisel; Michael Eickenberg; Cyril Poupon; Bertrand Thirion;
  • Publisher: Public Library of Science
  • Journal: PLOS Computational Biology,volume 12,issue 6,pagee1004994 (issn: 1553-734X 1553-7358, eissn: 1553-7358)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.1371/journal.pcbi.1004994, doi: 10.18154/RWTH-CONV-211837, pmc: PMC4911040
  • Subject: Magnetic Resonance Imaging | Research Article | Cognitive Psychology | Diagnostic Medicine | Mathematics | [ SDV.NEU ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] | Neural Networks | [ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML] | Learning | Diagnostic Radiology | Mathematical and Statistical Techniques | Radiology and Imaging | Multivariate Analysis | Artificial Intelligence | Physical Sciences | Psychology | Brain Mapping | Statistics (Mathematics) | Biology and Life Sciences | Support Vector Machines | Computer and Information Sciences | Cognition | Neuroscience | Research and Analysis Methods | Machine Learning | QH301-705.5 | Neuroimaging | [ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM] | Imaging Techniques | Learning and Memory | Social Sciences | Network Analysis | Medicine and Health Sciences | Biology (General) | Functional Magnetic Resonance Imaging | Statistical Methods | Principal Component Analysis | Cognitive Science

International audience; Systems neuroscience has identified a set of canonical large-scale networks in humans. These have predominantly been characterized by resting-state analyses of the task-uncon-strained, mind-wandering brain. Their explicit relationship to defined ... View more
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