39 lines
No EOL
1.2 KiB
Markdown
39 lines
No EOL
1.2 KiB
Markdown
---
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title: 'PyMVPA: a unifying approach to the analysis of neuroscientific data'
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persons:
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- michael-hanke
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- orcid:0000-0001-5840-5658
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- orcid:0000-0002-6558-3118
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- orcid:0000-0003-3456-2493
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topics:
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- research-software-engineering
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- neuroimaging
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- predictive-data-analysis
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params:
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graphRootNodePID: xyzrins:publications/f15570ef-4b82-4fc7-9780-715b99cfa388
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pid: xyzrins:publications/f15570ef-4b82-4fc7-9780-715b99cfa388
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doi: 10.3389/neuro.11.003.2009
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date: '2009'
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title: 'PyMVPA: a unifying approach to the analysis of neuroscientific data'
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kind: bibo:AcademicArticle
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author:
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- pid: xyzrins:persons/michael-hanke
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given_name: Michael
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family_name: Hanke
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- pid: orcid:0000-0001-5840-5658
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given_name: Stefan
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family_name: Pollmann
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- pid: orcid:0000-0002-6558-3118
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given_name: James
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family_name: Haxby
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- pid: orcid:0000-0003-3456-2493
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given_name: Yaroslav
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family_name: Halchenko
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topic:
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- pid: xyzrins:topics/research-software-engineering
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display_label: Research software engineering (RSE)
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- pid: xyzrins:topics/neuroimaging
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display_label: Neuroimaging
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- pid: xyzrins:topics/predictive-data-analysis
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display_label: Predictive data analysis
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--- |