A neuronal network for the logic of Limax learning

Pranay Goel, Alan Gelperin

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

We construct a neuronal network to model the logic of associative conditioning as revealed in experimental results using the terrestrial mollusk Limax maximus. We show, in particular, how blocking to a previously conditioned stimulus in the presence of the unconditional stimulus, can emerge as a dynamical property of the network. We also propose experiments to test the new model.

Original languageEnglish (US)
Pages (from-to)259-270
Number of pages12
JournalJournal of Computational Neuroscience
Volume21
Issue number3
DOIs
StatePublished - Dec 1 2006
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Sensory Systems
  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

Keywords

  • Associative conditioning
  • Limax
  • Logic of learning behavior
  • Neuronal network

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