Behavioral and neurophysiological analyses of dynamic learning processes

Wendy A. Suzuki, Emery N. Brown

Research output: Contribution to journalReview articlepeer-review


In this article, the authors address two topics relevant to the study of the brain basis of associative learning. In Part 1, they compare and contrast the patterns and time course of dynamic learning-related neural activity that have been reported in the medial temporal lobe, premotor cortex, prefrontal cortex, and striatum during various associative learning tasks. In Part 2, they examine the statistical methodologies that have been used to analyze both behavioral learning and learning-related neural activity. They describe a state-space model of behavioral learning that provides accurate estimates of dynamic learning processes and a point-process filter algorithm that tracks the dynamic changes in neural activity on a millisecond time scale. Future challenges for these statistical methodologies and their application to the study of the brain basis of associative learning are discussed.

Original languageEnglish (US)
Pages (from-to)67-95
Number of pages29
JournalBehavioral and Cognitive Neuroscience Reviews
Issue number2
StatePublished - Jun 2005


  • Associative
  • Hidden Markov model
  • Hippocampus
  • Medial temporal lobe
  • State-space model

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Behavioral Neuroscience


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