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020 _a9783031531453
_9978-3-031-53145-3
024 7 _a10.1007/978-3-031-53145-3
_2doi
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072 7 _aPBKS
_2bicssc
072 7 _aMAT041000
_2bisacsh
072 7 _aPBKS
_2thema
082 0 4 _a518
_223
245 1 0 _aComputational Physiology
_h[electronic resource] :
_bSimula Summer School 2023 − Student Reports /
_cedited by Kimberly J. McCabe.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXIV, 110 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aReports on Computational Physiology,
_x2730-7743 ;
_v17
505 0 _a1 Studying the role of astrocytic membrane properties on microscopic fluid flow in brain tissue -- 2 Computational modeling of ephaptic coupling in myelinated and unmyelinated axon bundles using the EMI framework -- 3 Augmentation of cardiac ischemic geometry for improving machine learning performance in arrhythmic risk stratification -- 4 Non-Invasive Detection of Fetal Ischemia Through Electrocardiography -- 5 Reconstruction of a Pancreatic Beta Cell Network from Heterogeneous Functional Measurements -- 6 The Impact of Mechano-Electric Feedback on Drug- and Stretch-Induced Arrhythmia using a Computational Model of Cardiac Electromechanics -- 7 Impact of modeling assumptions on hemodynamic stresses in predicting cerebral aneurysm rupture status -- 8 Random Path Generation with Spiking Neural Networks.
506 0 _aOpen Access
520 _aThis open access volume compiles student reports from the 2023 Simula Summer School in Computational Physiology. The reports provide an overview of some tools available to model physiology in excitable tissues across scales and scientific questions. In 2023, Simula held the nineth annual Summer School in Computational Physiology in collaboration with the University of Oslo (UiO) and the University of California, San Diego (UCSD). Each year, the course focuses on modeling excitable tissues, with a special interest in cardiac physiology and neuroscience. Group research projects conducted by graduate students from around the world result in reports addressing problems of physiological importance. Reports may not necessarily represent new scientific results; rather, they can reproduce or supplement earlier studies. Reports from seven of the summer projects are included as separate chapters. The topics represented include multiscale mechanics, electrophysiology, pharmacology, and machine learning. This is an open access book.
650 0 _aMathematics
_xData processing.
650 0 _aNeurosciences.
650 0 _aPharmacology.
650 0 _aChemistry, Organic.
650 1 4 _aComputational Mathematics and Numerical Analysis.
650 2 4 _aNeuroscience.
650 2 4 _aPharmacology.
650 2 4 _aOrganic Chemistry.
700 1 _aMcCabe, Kimberly J.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031531446
776 0 8 _iPrinted edition:
_z9783031531460
830 0 _aReports on Computational Physiology,
_x2730-7743 ;
_v17
856 4 0 _uhttps://doi.org/10.1007/978-3-031-53145-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-SOB
999 _c37475
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