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dc.contributor.author
Wajnerman Paz, Abel
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dc.date.available
2018-07-27T19:09:15Z
dc.date.issued
2017-04
dc.identifier.citation
Wajnerman Paz, Abel; A mechanistic perspective on canonical neural computation; Taylor & Francis; Philosophical Psychology; 30; 3; 4-2017; 209-230
dc.identifier.issn
0951-5089
dc.identifier.uri
http://hdl.handle.net/11336/53338
dc.description.abstract
Although it has been argued that mechanistic explanation is compatible with abstraction (i.e., that there are abstract mechanistic models), there are still doubts about whether mechanism can account for the explanatory power of significant abstract models in computational neuroscience. Chirimuuta has recently claimed that models describing canonical neural computations (CNCs) must be evaluated using a non-mechanistic framework. I defend two claims regarding these models. First, I argue that their prevailing neurocognitive interpretation is mechanistic. Additionally, a criterion recently proposed by Levy and Bechtel to legitimize mechanistic abstract models, and also a criterion proposed by Chirimuuta herself aimed to distinguish between causal and non-causal explanation, can be employed to show why these models are explanatory only under this interpretation (as opposed to a purely mathematical or non-causal interpretation). Second, I argue that mechanism is able to account for the special epistemic achievement implied by CNC models. Canonical neural components contribute to an integrated understanding of different cognitive functions. They make it possible for us to explain these functions by describing different mechanisms constituted by common basic components arranged in different ways.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Taylor & Francis
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Abstraction
dc.subject
Causal Explanation
dc.subject
Cognitive Neuroscience
dc.subject
Integration
dc.subject
Mechanism
dc.subject.classification
Estudios Religiosos
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dc.subject.classification
Filosofía, Ética y Religión
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dc.subject.classification
HUMANIDADES
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dc.title
A mechanistic perspective on canonical neural computation
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-07-25T13:52:31Z
dc.identifier.eissn
1465-394X
dc.journal.volume
30
dc.journal.number
3
dc.journal.pagination
209-230
dc.journal.pais
Estados Unidos
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dc.journal.ciudad
Washington DC
dc.description.fil
Fil: Wajnerman Paz, Abel. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Philosophical Psychology
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/09515089.2016.1271117
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/09515089.2016.1271117
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