Rodrigues, Yuri Elias, Tigaret, Cezar Mugurel  ORCID: https://orcid.org/0000-0001-5848-6697, Marie, Hélène, O'Donnell, Cian and Veltz, Romain
2023.
A stochastic model of hippocampal synaptic plasticity with geometrical readout of enzyme dynamics.
eLife
12
, e80152.
10.7554/eLife.80152
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Abstract
Discovering the rules of synaptic plasticity is an important step for understanding brain learning. Existing plasticity models are either (1) top-down and interpretable, but not flex- ible enough to account for experimental data, or (2) bottom-up and biologically realistic, but too intricate to interpret and hard to fit to data. To avoid the shortcomings of these approaches, we present a new plasticity rule based on a geometrical readout mechanism that flexibly maps synaptic enzyme dynamics to predict plasticity outcomes. We apply this readout to a multi-timescale model of hippocampal synaptic plasticity induction that includes electrical dynamics, calcium, CaMKII and calcineurin, and accurate representation of intrinsic noise sources. Using a single set of model parameters, we demonstrate the robustness of this plasticity rule by reproducing nine published ex vivo experiments covering various spike-timing and frequency-dependent plasticity induction proto- cols, animal ages, and experimental conditions. Our model also predicts that in vivo-like spike timing irregularity strongly shapes plasticity outcome. This geometrical readout modelling approach can be readily applied to other excitatory or inhibitory synapses to discover their synaptic plasticity rules.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Professional Services > Advanced Research Computing @ Cardiff (ARCCA) Research Institutes & Centres > MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Schools > Medicine Research Institutes & Centres > Neuroscience and Mental Health Research Institute (NMHII) |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software Q Science > QP Physiology |
| Publisher: | eLife Sciences Publications |
| ISSN: | 2050-084X |
| Funders: | Medical Research Council (MR/V034111/1), ComputaBrain Idex UCA Jedi, ComputaBrain Idex UCA Jedi, Medical Research Council (MR/V034111/1), Leverhulme Trust (RPG-2019-229) |
| Date of First Compliant Deposit: | 18 August 2023 |
| Date of Acceptance: | 22 March 2023 |
| Last Modified: | 06 Jun 2025 12:56 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/161930 |
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