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God, the devil, and the details: Fleshing out the predictive processing framework

Published online by Cambridge University Press:  10 May 2013

Daniel Rasmussen
Affiliation:
Centre for Theoretical Neuroscience, University of Waterloo, Waterloo, ON N2L 3G1, Canada. drasmuss@uwaterloo.caceliasmith@uwaterloo.ca
Chris Eliasmith
Affiliation:
Centre for Theoretical Neuroscience, University of Waterloo, Waterloo, ON N2L 3G1, Canada. drasmuss@uwaterloo.caceliasmith@uwaterloo.ca

Abstract

The predictive processing framework lacks many of the architectural and implementational details needed to fully investigate or evaluate the ideas it presents. One way to begin to fill in these details is by turning to standard control-theoretic descriptions of these types of systems (e.g., Kalman filters), and by building complex, unified computational models in biologically realistic neural simulations.

God is in the details

— Mies van der Rohe

The devil is in the details

— Anonymous

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2013 

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