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Cognitive Ontology and Region- versus Network-Oriented Analyses

Bibliographic Data

ID10707271
AuthorsColin Klein (0000-0002-7406-4010, University of Illinois Chicago, corresponding author)
Year2012
Volume79
Issue5
Pages952-960
Publication date2012-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePhilosophy of Science (JOURNAL)
Journal identifiersISSN: 0031-8248 • E-ISSN: 1539-767X
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1086/667843
OpenAlexW2174210727
LanguageEN
Citations received24
References cited16

The interpretation of functional imaging experiments is complicated by the pluripotency of brain regions. As there is a many-to-one mapping between cognitive functions and their neural substrates, region-based analyses of imaging data provide only weak support for cognitive theories. Price and Friston argue that we need a ‘cognitive ontology’ that abstractly categorizes the function of regions. I argue that abstract characterizations are unlikely to be cognitively interesting. I argue instead that we should attribute functions to regions in a context-sensitive manner. I review recent meta-analyses that approach fMRI data in this light and argue that they have revisionary potential

Cognition · Cognitive psychology · Cognitive science · Context (archaeology) · Epistemology · Function (biology) · Interpretation (philosophy) · Ontology · Action Observation and Synchronization · Biomedical Text Mining and Ontologies · Computer Science · Face Recognition and Perception · History · Neuroscience · Philosophy · Psychology

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Unique citing works24
Citations per year1.85
Citation span2013 - 2026 (14)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 24

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