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Seeking predictions from a predictive framework

Published online by Cambridge University Press:  24 June 2013

T. Florian Jaeger
Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14627-0268. Department of Computer Science, University of Rochester, Rochester, NY 14627.
Victor Ferreira
Department of Psychology 0109, University of California, San Diego, La Jolla, CA 92093-0109.


We welcome the proposal to use forward models to understand predictive processes in language processing. However, Pickering & Garrod (P&G) miss the opportunity to provide a strong framework for future work. Forward models need to be pursued in the context of learning. This naturally leads to questions about what prediction error these models aim to minimize.

Open Peer Commentary
Copyright © Cambridge University Press 2013 

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