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Modeling the complexity of brain activity across spatial scales| title | Modeling the complexity of brain activity across spatial scales |
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| start_date | 2023/02/24 |
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| schedule | 11h-12h |
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| online | no |
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| location_info | Bât. 462 - Amphithéâtre Neurocampus Michel Jouvet |
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| details | CORTEX Conference |
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| summary | An increasing amount of refined experimental techniques confronts us with complex and rich dynamics of brain activity across spatial scales, from neurons to neural populations. Modeling approaches can be of crucial importance for understanding the mechanisms at the origin of such coordinated activity and their relation to cognitive functions. In this presentation, recent advances for modeling brain activity across spatial scales will be discussed, with a special focus on oscillations. Coherent oscillations of neuronal activity are ubiquitous across brain spatial and temporal scales. However, their mechanistic origin is still under debate and classical models do not account for their irregular and complex nature, both in time and in the frequency domain. I will present a mathematical model where oscillations emerge from a new mechanisms due to endogenous noise in brain activity, which turns out to be the key to model the complexity of bursting gamma oscillations in the Hippocampus. A detailed comparison between model predictions and experimentally measured oscillations with Local Field Potentials in the Hippocampus of the mouse will be presented. |
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| responsibles | Information non disponible |
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Workflow history| from state (1) | to state | comment | date |
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| submitted | published | | 2023/02/21 14:26 UTC |
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