PyMVPA: A unifying approach to the analysis of neuroscientifi c data

Frontiers in Neuroinformatics

Volumn 3, Issue FEB, 2009, Pages

  Hanke, Michael ^a,b   Halchenko, Yaroslav O ^c,d,e   Sederberg, Per B ^f   Olivetti, Emanuele ^g,h   Fründ, Ingo ^a,i,j   Rieger, Jochem W ^a,b,k   Herrmann, Christoph S ^a,j,k   Haxby, James V ^l,m   Hanson, Stephen José ^c,e   Pollmann, Stefan ^a,b,k  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

^b Center for Advanced Imaging   (Germany)

^c Newark College of Arts and Sciences   (United States)

^d University Heights   (United States)

^e RUTGERS UNIVERSITY   (United States)

^f PRINCETON UNIVERSITY   (United States)

^g ITC IRST   (Italy)

^h UNIVERSITY OF TRENTO   (Italy)

ⁱ LEIBNIZ INSTITUTE FOR NEUROBIOLOGY   (Germany)

^j Bernstein Group for Computational Neuroscience   (Germany)

^k CENTER FOR BEHAVIORAL BRAIN SCIENCES   (Germany)

^l DARTMOUTH COLLEGE   (United States)

^m Dartmouth College   (United States)

more..

Author keywords

Electroencephalography; Extracellular recordings; Functional magnetic resonance imaging; Machine learning; Magnetoencephalography; Python

Indexed keywords

EID: 84890872627     PISSN: 16625196     EISSN: None     Source Type: Journal    
DOI: 10.3389/neuro.11.003.2009     Document Type: Article

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