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Memory formation: From network structure to neural dynamics

  • Sarah Feldt
  • , Jane X. Wang
  • , Vaughn L. Hetrick
  • , Joshua D. Berke
  • , Michal Zochowski
  • Applied Physics Program
  • Psychology Department
  • Physics Department
  • University of Michigan, Ann Arbor

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Understanding the neural correlates of brain function is an extremely challenging task, since any cognitive process is distributed over a complex and evolving network of neurons that comprise the brain. In order to quantify observed changes in neuronal dynamics during hippocampal memory formation, we present metrics designed to detect directional interactions and the formation of functional neuronal ensembles. We apply these metrics to both experimental and model-derived data in an attempt to link anatomical network changes with observed changes in neuronal dynamics during hippocampal memory formation processes.We show that the developed model provides a consistent explanation of the anatomical network modifications that underlie the activity changes observed in the experimental data.

Original languageEnglish
Pages (from-to)2251-2267
Number of pages17
JournalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume368
Issue number1918
DOIs
StatePublished - May 13 2010

Keywords

  • Functional clustering
  • Memory formation
  • Network dynamics
  • Network structure
  • Neuronal networks

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