Synaptic adaptation and sustained generation of waves in a model of turtle visual cortex

Zachary V. Freudenburg, Bijoy K. Ghosh, Philip S. Ulinski

Research output: Contribution to journalArticlepeer-review


Both single and repeated visual stimuli producewaves of activity in the visual cortex of freshwater turtles. Large-scale, biophysically realistic models of the visual cortex capture the basic features of the waves produced by single stimuli. However, these models do not respond to repetitive stimuli due to the presence of a long-lasting hyperpolarization that follows the initial wave. This papermodifies the large-scale model so that it responds to repetitive stimuli by incorporating Hebbian and anti-Hebbian learning rules in synapses in the model. The resulting adaptive model responds to repetitive stimuli with repetitive waves. However, repeated presentation of a stimulus to a restricted region of visual space produces a habituation in the model in the same way it does in the real cortex.

Original languageEnglish
Article number4749354
Pages (from-to)1277-1286
Number of pages10
JournalIEEE Transactions on Biomedical Engineering
Issue number5
StatePublished - May 2009


  • Hebbian learning
  • Large-scale cortex model
  • Synaptic adaptation
  • Turtle visual cortex

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