Hippocampal CA3–CA1 synaptic network model of memory

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

doi:10.1007/s11071-024-09375-4

Hippocampal CA3–CA1 synaptic network model of memory

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

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

9 Citations (Scopus)

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. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

Original language	English
Pages (from-to)	7499-7525
Journal	Nonlinear Dynamics
Volume	112
Issue number	9
Online published	7 Mar 2024
DOIs	https://doi.org/10.1007/s11071-024-09375-4
Publication status	Published - May 2024

Funding

This work was supported by the National Natural Science Foundation of China (Nos. 11972288, 12272295, 12072265).

Research Keywords

AMPARs
Hippocampus
Memory
Network

Access Output

10.1007/s11071-024-09375-4

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@article{657fd1fe3cdb4376ad31f08d415fa62c,

title = "Hippocampal CA3–CA1 synaptic network model of memory",

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. {\textcopyright} The Author(s), under exclusive licence to Springer Nature B.V. 2024.",

keywords = "AMPARs, Hippocampus, Memory, Network",

author = "Lei Yang and Hong-Hui Zhang and Zhong-Kui Sun and Lin Du and Guan-Rong Chen",

year = "2024",

month = may,

doi = "10.1007/s11071-024-09375-4",

language = "English",

volume = "112",

pages = "7499--7525",

journal = "Nonlinear Dynamics",

issn = "0924-090X",

publisher = "Springer Netherlands",

number = "9",

}

TY - JOUR

T1 - Hippocampal CA3–CA1 synaptic network model of memory

AU - Yang, Lei

AU - Zhang, Hong-Hui

AU - Sun, Zhong-Kui

AU - Du, Lin

AU - Chen, Guan-Rong

PY - 2024/5

Y1 - 2024/5

N2 - 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. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

AB - 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. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

KW - AMPARs

KW - Hippocampus

KW - Memory

KW - Network

UR - https://www.scopus.com/pages/publications/85186872297

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85186872297&origin=recordpage

U2 - 10.1007/s11071-024-09375-4

DO - 10.1007/s11071-024-09375-4

M3 - RGC 21 - Publication in refereed journal

SN - 0924-090X

VL - 112

SP - 7499

EP - 7525

JO - Nonlinear Dynamics

JF - Nonlinear Dynamics

IS - 9

ER -

Hippocampal CA3–CA1 synaptic network model of memory

Abstract

Funding

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this