Tesler, F;
Lorenzi, RM;
Ponzi, A;
Casellato, C;
Palesi, F;
Gandolfi, D;
Gandini Wheeler Kingshott, CAM;
... Destexhe, A; + view all
(2024)
Multiscale modeling of neuronal dynamics in hippocampus CA1.
Frontiers in Computational Neuroscience
, 18
, Article 1432593. 10.3389/fncom.2024.1432593.
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Abstract
The development of biologically realistic models of brain microcircuits and regions constitutes currently a very relevant topic in computational neuroscience. One of the main challenges of such models is the passage between different scales, going from the microscale (cellular) to the meso (microcircuit) and macroscale (region or whole-brain level), while keeping at the same time a constraint on the demand of computational resources. In this paper we introduce a multiscale modeling framework for the hippocampal CA1, a region of the brain that plays a key role in functions such as learning, memory consolidation and navigation. Our modeling framework goes from the single cell level to the macroscale and makes use of a novel mean-field model of CA1, introduced in this paper, to bridge the gap between the micro and macro scales. We test and validate the model by analyzing the response of the system to the main brain rhythms observed in the hippocampus and comparing our results with the ones of the corresponding spiking network model of CA1. Then, we analyze the implementation of synaptic plasticity within our framework, a key aspect to study the role of hippocampus in learning and memory consolidation, and we demonstrate the capability of our framework to incorporate the variations at synaptic level. Finally, we present an example of the implementation of our model to study a stimulus propagation at the macro-scale level, and we show that the results of our framework can capture the dynamics obtained in the corresponding spiking network model of the whole CA1 area.
| Type: | Article |
|---|---|
| Title: | Multiscale modeling of neuronal dynamics in hippocampus CA1 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/fncom.2024.1432593 |
| Publisher version: | http://dx.doi.org/10.3389/fncom.2024.1432593 |
| Language: | English |
| Additional information: | © 2024 Tesler, Lorenzi, Ponzi, Casellato, Palesi, Gandolfi, Gandini Wheeler Kingshott, Mapelli, D'Angelo, Migliore and Destexhe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | spiking neural network, hippocampus, mean-field, traveling waves, oscillations, multiscale |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10196661 |
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