Mechanisms and Model-Based Functional Magnetic Resonance Imaging. Issue 5 (December 2015)
- Record Type:
- Journal Article
- Title:
- Mechanisms and Model-Based Functional Magnetic Resonance Imaging. Issue 5 (December 2015)
- Main Title:
- Mechanisms and Model-Based Functional Magnetic Resonance Imaging
- Authors:
- Povich, Mark
- Abstract:
- Abstract : Mechanistic explanations satisfy widely held norms of explanation: the ability to manipulate and answer counterfactual questions about the explanandum phenomenon. A currently debated issue is whether any nonmechanistic explanations can satisfy these explanatory norms. Weiskopf argues that the models of object recognition and categorization, JIM, SUSTAIN, and ALCOVE, are not mechanistic yet satisfy these norms of explanation. In this article I argue that these models are mechanism sketches. My argument applies recent research using model-based functional magnetic resonance imaging, a novel neuroimaging method whose significance for current debates on psychological models and mechanistic explanation has yet to be explored.
- Is Part Of:
- Philosophy of science. Volume 82:Issue 5(2015)
- Journal:
- Philosophy of science
- Issue:
- Volume 82:Issue 5(2015)
- Issue Display:
- Volume 82, Issue 5 (2015)
- Year:
- 2015
- Volume:
- 82
- Issue:
- 5
- Issue Sort Value:
- 2015-0082-0005-0000
- Page Start:
- 1035
- Page End:
- 1046
- Publication Date:
- 2015-12
- Subjects:
- Science -- Periodicals
Science -- Philosophy
Science
Science -- Philosophy
Philosophie des sciences
Epistemology
Periodicals
501 - Journal URLs:
- https://www.journals.uchicago.edu/toc/phos/current ↗
https://www.cambridge.org/core/journals/philosophy-of-science ↗
http://www.journals.uchicago.edu/PHILSCI/journal/index.html ↗
http://www.jstor.org/journals/00318248.html ↗ - DOI:
- 10.1086/683438 ↗
- Languages:
- English
- ISSNs:
- 1539-767X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 27124.xml