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RESEARCH ARTICLE Perceptual learning with perceptions

Perceptual learning with perceptions
Anja Stemme Gustavo Deco Elmar W. Lang
Received: 25 March 2010 / Revised: 23 August 2010 / Accepted: 26 August 2010 / Published online: 1 October 2010
Springer Science+Business Media B.V. 2010
Abstract In this work we present an approach to under-
stand neuronal mechanisms underlying perceptual learning.
Experimental results achieved with stimulus patterns of
coherently moving dots are considered to build a simple
neuronal model. The design of the model is made trans-
parent and underlying behavioral assumptions made
explicit. The key aspect of the suggested neuronal model is
the learning algorithm used: We evaluated an implemen-
tation of Hebbian learning and are thus able to provide a
straight-forward model capable to explain the neuronal
dynamics underlying perceptual learning. Moreover, the
simulation results suggest a very simple explanation for the
aspect of ``sub-threshold'' learning (Watanabe et al. in
Nature 413:844884, 2001) as well as the relearning of
motion discrimination after damage to primary visual


Source: Andrzejak, Ralph Gregor - Departament de Tecnologia, Universitat Pompeu Fabra


Collections: Computer Technologies and Information Sciences