A unified computational model for cortical post-synaptic plasticity

Tuomo Mäki-Marttunen, Nicolangelo Iannella, Andrew G. Edwards, Gaute T. Einevoll, Kim T. Blackwell

Research output: Contribution to journalArticle

Abstract

Signalling pathways leading to post-synaptic plasticity have been examined in many types of experimental studies, but a unified picture on how multiple biochemical pathways collectively shape neocortical plasticity is missing. We built a biochemically detailed model of post-synaptic plasticity describing CaMKII, PKA, and PKC pathways and their contribution to synaptic potentiation or depression. We developed a statistical AMPA-receptor-tetramer model, which permits the estimation of the AMPA-receptor-mediated maximal synaptic conductance based on numbers of GluR1s and GluR2s predicted by the biochemical signalling model. We show that our model reproduces neuromodulator-gated spike-timing-dependent plasticity as observed in the visual cortex and can be fit to data from many cortical areas, uncovering the biochemical contributions of the pathways pinpointed by the underlying experimental studies. Our model explains the dependence of different forms of plasticity on the availability of different proteins and can be used for the study of mental disorder-associated impairments of cortical plasticity.

Original languageEnglish (US)
JournaleLife
Volume9
DOIs
StatePublished - Jul 30 2020
Externally publishedYes

Keywords

  • biochemically detailed model
  • calcium signalling
  • computational biology
  • intracellular signalling cascade
  • LTP/LTD
  • mouse
  • neuroscience
  • rat
  • STDP
  • systems biology

ASJC Scopus subject areas

  • Neuroscience(all)
  • Immunology and Microbiology(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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  • Cite this

    Mäki-Marttunen, T., Iannella, N., Edwards, A. G., Einevoll, G. T., & Blackwell, K. T. (2020). A unified computational model for cortical post-synaptic plasticity. eLife, 9. https://doi.org/10.7554/eLife.55714