PyMVPA: a unifying approach to the analysis of neuroscientific data

PyMVPA: a unifying approach to the analysis of neuroscientific data

The Python programming language is steadily increasing in popularity as the language of choice for scientific computing. The ability of this scripting environment to access a huge code base in various languages, combined with its syntactical simplicity, make it the ideal tool for implementing and sh...

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Bibliographic Details
Main Authors: Michael Hanke, Yaroslav O Halchenko, Per B Sederberg, Emanuele Olivetti, Ingo Fründ, Jochem W Rieger, Christoph S Herrmann, James V Haxby, Stephen J Hanson, Stefan Pollmann
Format: Article
Language:English
Published: Frontiers Media S.A. 2009-02-01
Series:Frontiers in Neuroinformatics
Subjects:
extracellular recordings
functional magnetic resonance imaging
machine learning
magneto-encephalography
python
Electroencephalography
Online Access:http://journal.frontiersin.org/Journal/10.3389/neuro.11.003.2009/full

Internet

http://journal.frontiersin.org/Journal/10.3389/neuro.11.003.2009/full

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