Model-based theorising in cognitive neuroscience

Irvine, Elizabeth ORCID: https://orcid.org/0000-0003-1861-9533 2016. Model-based theorising in cognitive neuroscience. British Journal for the Philosophy of Science 67 , pp. 143-168. 10.1093/bjps/axu034

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Abstract

Weisberg (2006) and Godfrey-Smith (2006, 2009) distinguish between two forms of theorising: data-driven ‘abstract direct representation’ and modeling. The key difference is that when using a data-driven approach, theories are intended to represent specific phenomena, so directly represent them, while models may not be intended to represent anything, so represent targets indirectly, if at all. The aim here is to compare and analyse these practices, in order to outline an account of model-based theorising that involves direct representational relationships. This is based on the way that computational templates Humphreys (2002, 2004) are now used in cognitive neuroscience, and draws on the dynamic and tentative process of any kind of theory construction, and the idea of partial, purpose-relative representation.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	English, Communication and Philosophy
Subjects:	B Philosophy. Psychology. Religion > B Philosophy (General)
Additional Information:	Pdf uploaded in accordance with publisher's policy at http://www.sherpa.ac.uk/romeo/issn/0007-0882/ (accessed 14/03/2016)
Publisher:	Oxford University Press (OUP)
ISSN:	0007-0882
Date of First Compliant Deposit:	30 March 2016
Last Modified:	12 Nov 2024 17:15
URI:	https://orca.cardiff.ac.uk/id/eprint/81122

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