Uncertainty quantification in flux balance analysis of spatially lumped and distributed models of neuron-astrocyte metabolism

DOI10.1007/s00285-016-1011-7zbMath1350.92006arXiv1412.5693OpenAlexW2346632912WikidataQ48768537 ScholiaQ48768537MaRDI QIDQ338375

Erkki Somersalo, Yougan Cheng, Daniela Calvetti

Publication date: 4 November 2016

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1412.5693

zbMATH Keywords

Bayesian flux balance analysisbrain energy metabolismdistributed modelglucose partitioninglactate shuttle

Mathematics Subject Classification ID

Neural biology (92C20) Biochemistry, molecular biology (92C40)

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Cites Work

• A spatially distributed computational model of brain cellular metabolism
• Monte Carlo sampling can be used to determine the size and shape of the steady-state flux space
• Bayesian stationary state flux balance analysis for a skeletal muscle metabolic model
• Introduction to Bayesian Scientific Computing
• Dynamic activation model for a glutamatergic neurovascular unit

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