Mechanisms of memory storage in a model perirhinal network

Pranit Samarth, John M. Ball, Gunes Unal, Denis Paré, Satish S. Nair

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


The perirhinal cortex supports recognition and associative memory. Prior unit recording studies revealed that recognition memory involves a reduced responsiveness of perirhinal cells to familiar stimuli whereas associative memory formation is linked to increasing perirhinal responses to paired stimuli. Both effects are thought to depend on perirhinal plasticity but it is unclear how the same network could support these opposite forms of plasticity. However, a recent study showed that when neocortical inputs are repeatedly activated, depression or potentiation could develop, depending on the extent to which the stimulated neocortical activity recruited intrinsic longitudinal connections. We developed a biophysically realistic perirhinal model that reproduced these phenomena and used it to investigate perirhinal mechanisms of associative memory. These analyzes revealed that associative plasticity is critically dependent on a specific subset of neurons, termed conjunctive cells (CCs). When the model network was trained with spatially distributed but coincident neocortical inputs, CCs acquired excitatory responses to the paired inputs and conveyed them to distributed perirhinal sites via longitudinal projections. CC ablation during recall abolished expression of the associative memory. However, CC ablation during training did not prevent memory formation because new CCs emerged, revealing that competitive synaptic interactions governs the formation of CC assemblies.

Original languageEnglish (US)
Pages (from-to)183-200
Number of pages18
JournalBrain Structure and Function
Issue number1
StatePublished - Jan 1 2017

All Science Journal Classification (ASJC) codes

  • Anatomy
  • Neuroscience(all)
  • Histology


  • Associative memory
  • Computational model
  • Entorhinal
  • Memory retrieval
  • Perirhinal
  • Synaptic plasticity

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