Structure learning and the Occam's razor principle: A new view of human function acquisition

Structure learning and the Occam's razor principle: A new view of human function acquisition

We often encounter pairs of variables in the world whose mutual relationship can be described by a function. After training, human responses closely correspond to these functional relationships. Here we study how humans predict unobserved segments of a function that they have been trained on and we...

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Bibliographic Details
Main Authors: Devika eNarain, Jeroen B. J. Smeets, Pascal eMamassian, Eli eBrenner, Robert J van Beers
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-09-01
Series:Frontiers in Computational Neuroscience
Subjects:
associative learning
sensorimotor learning
bayesian model selection
gaussian processes
structure learning
Function learning
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00121/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00121/full

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