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Dynamics-Informed Priors (DIP) for Neural Mass Modelling

2025-09-29

Abstract excerpt

Neural Mass Models (NMMs) are important mathematical tools for inferring hidden neural mechanisms that generate healthy and pathological brain activities. A critical step in the inference process is parameter estimation, which calibrates NMMs based on measured neuroimaging data. While parameter estimation can be conducted via various approaches, one of the most influential methods is Dynamic Causal Modelling (DCM)...

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Literature Corpus work
baba0ef2-0889-5939-966a-a3a4d571153b
DOI
10.1101/2025.09.26.678721
Open publication

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Dynamics-Informed Priors (DIP) for Neural Mass ModellingDOI 10.1101/2025.09.26.678721
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