A unified computational model for cortical post-synaptic plasticity

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

doi:10.7554/eLife.55714

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A unified computational model for cortical post-synaptic plasticity

Journal article

Open access

Peer reviewed

A unified computational model for cortical post-synaptic plasticity

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

eLife, Vol.9, pp.1-42

07/30/2020

DOI: 10.7554/eLife.55714

PMCID: 7426095

PMID: 32729828

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https://doi.org/10.7554/eLife.55714View

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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.

Animals

Computational Biology

Mice

Models, Neurological

Neuronal Plasticity

Rats

Receptors, AMPA - metabolism

Signal Transduction

Visual Cortex - physiology

Details

Title: Subtitle: A unified computational model for cortical post-synaptic plasticity
Creators: Tuomo Mäki-Marttunen - Simula Research Laboratory
Nicolangelo Iannella - University of Oslo
Andrew G Edwards - Simula Research Laboratory
Gaute T Einevoll - Norwegian University of Life Sciences
Kim T Blackwell - George Mason University
Resource Type: Journal article
Publication Details: eLife, Vol.9, pp.1-42
DOI: 10.7554/eLife.55714
PMID: 32729828
PMCID: 7426095
NLM abbreviation: Elife
ISSN: 2050-084X
eISSN: 2050-084X
Grant note: 248828 / Research council of Norway 785907 / European Union Horizon 2020 Research and Innovation 785907 / Horizon 2020 - Research and Innovation Framework Programme
Language: English
Date published: 07/30/2020
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Iowa Neuroscience Institute
Record Identifier: 9984446534202771

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