The computational nature of associative learning

Nestor A. Schmajuk, Munir Gunes Kutlu

Research output: Contribution to journalComment/debatepeer-review

4 Scopus citations

Abstract

An attentional-associative model (Schmajuk et al. 1996), previously evaluated against multiple sets of classical conditioning data, is applied to causal learning. In agreement with Mitchell et al.'s suggestion, according to the model associative learning can be a conscious, controlled process. However, whereas our model correctly predicts blocking following or preceding subadditive training, the propositional approach cannot account for those results.

Original languageEnglish (US)
Pages (from-to)223-224
Number of pages2
JournalBehavioral and Brain Sciences
Volume32
Issue number2
DOIs
StatePublished - Sep 22 2009

All Science Journal Classification (ASJC) codes

  • Neuropsychology and Physiological Psychology
  • Physiology
  • Language and Linguistics
  • Linguistics and Language
  • Behavioral Neuroscience

Fingerprint Dive into the research topics of 'The computational nature of associative learning'. Together they form a unique fingerprint.

Cite this