Perceptual learning with perceptions

Anja Stemme, Gustavo Deco, Elmar W. Lang

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)


In this work we present an approach to understand 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 transparent and underlying behavioral assumptions made explicit. The key aspect of the suggested neuronal model is the learning algorithm used: We evaluated an implementation 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 413:844-884, 2001) as well as the relearning of motion discrimination after damage to primary visual cortex as recently reported (Huxlin et al. in J Neurosci 29:3981-3991, 2009) and at least indicate that perceptual learning might only occur when accompanied by conscious percepts.

Original languageEnglish
Pages (from-to)31-43
Number of pages13
JournalCognitive Neurodynamics
Issue number1
Publication statusPublished - Mar 2011
Externally publishedYes


  • Hebb
  • Neurodynamical model
  • Perception
  • Perceptual learning

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