Severe Tests in Neuroimaging: What We Can Learn and How We Can Learn It.

Considerable methodological difficulties abound in neuroimaging, and several philosophers of science have recently called into question the potential of neuroimaging studies to contribute to our knowledge of human cognition. These skeptical accounts suggest that functional hypotheses are underdeterm...

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Detalles Bibliográficos
Publicado en:Philosophy of Science Vol. 81; no. 5; pp. 961 - 974
Autor principal: Aktunc, M. Emrah
Formato: Artículo
Publicado: Cambridge University Press Dec2014
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Considerable methodological difficulties abound in neuroimaging, and several philosophers of science have recently called into question the potential of neuroimaging studies to contribute to our knowledge of human cognition. These skeptical accounts suggest that functional hypotheses are underdetermined by neuroimaging data. I apply Mayo's error-statistical account to clarify the evidential import of neuroimaging data and the kinds of inferences it can reliably support. Thus, we can answer the question "What can we reliably learn from neuroimaging?" and make sense of how this knowledge can contribute to novel construals of cognition.