Hippocampal CA3–CA1 synaptic network model of memory

Lei Yang, Hong Hui Zhang, Zhong Kui Sun, Lin Du, Guan Rong Chen

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A synaptic network model is proposed to characterize both short-term and long-term memory. The model describes the calcium concentration-dependent bistability of CaMKII phosphorylation levels and the transition of CaMKII between DOWN and UP states under different stimulation protocols. Numerical results demonstrate that short-term memory can be characterized by a trajectory tending to zero, while long-term memory can be characterized by a heteroclinic trajectory based on the principle of winnerless competition. Additionally, the results suggest that the model forms memories more efficiently with faster and longer training.

Original languageEnglish
Pages (from-to)7499-7525
Number of pages27
JournalNonlinear Dynamics
Volume112
Issue number9
DOIs
StatePublished - May 2024

Keywords

  • AMPARs
  • Hippocampus
  • Memory
  • Network

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