Predictions, precision, and agentive attention

Clark, Andy (2017) Predictions, precision, and agentive attention. Consciousness and Cognition, 56. pp. 115-119. ISSN 1053-8100

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Abstract

The use of forward models (mechanisms that predict the future state of a system) is well established in cognitive and computational neuroscience. We compare and contrast two recent, but interestingly divergent, accounts of the place of forward models in the human cognitive architecture. On the Auxiliary Forward Model (AFM) account, forward models are special-purpose prediction mechanisms implemented by additional circuitry distinct from core mechanisms of perception and action. On the Integral Forward Model (IFM) account, forward models lie at the heart of all forms of perception and action. We compare these neighbouring but importantly different visions and consider their implications for the cognitive sciences. We end by asking what kinds of empirical research might offer evidence favouring one or the other of these approaches.

Item Type: Article
Schools and Departments: School of History, Art History and Philosophy > Philosophy
Subjects: B Philosophy. Psychology. Religion > B Philosophy (General)
Depositing User: Paige Thompson
Date Deposited: 13 Mar 2019 15:22
Last Modified: 01 Jul 2019 19:00
URI: http://sro.sussex.ac.uk/id/eprint/82329

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Project NameSussex Project NumberFunderFunder Ref
ERC Advanced Grant XSPECTUnsetERCDLV-692739