The precise neural substrates of major depressive disorder (MDD) remain elusive, and FDA-approved antidepressants fail at least one-third of treatment-seeking patients. It is imperative, therefore, to identify novel research strategies to tackle the factors impeding progress. In this chapter we propose that the knowledge derived from computational investigations of associative learning might offer new insights into the neurobiology of MDD.

Original languageEnglish
Title of host publicationBehavioral Neurobiology of Depression and Its Treatment
EditorsPhilip J. Cowen, Jennifer Y. F. Lau, Trevor Sharp
Number of pages20
StatePublished - 2013

Publication series

NameCurrent Topics in Behavioral Neurosciences
ISSN (Print)1866-3370
ISSN (Electronic)1866-3389


  • Associative learning
  • Fear learning/conditioning
  • Major depressive disorder (MDD)
  • Prediction error
  • Reward learning


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