Data, models and transitions in computational neuroscience: Bottom-up and top-down approaches

Manu Kalia

doi:10.3990/1.9789036554091

Data, models and transitions in computational neuroscience: Bottom-up and top-down approaches

Manu Kalia

Research output: Thesis › PhD Thesis - Research UT, graduation UT

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Abstract

This thesis is concerned with building and analyzing mathematical models in computational neuroscience using bottom-up and top-down approaches. Models are constructed using biophysical principles to understand the pathophysiology of cerebral ischemia at different spatial and temporal scales. Data-driven techniques in conjunction with machine learning are used to build compact parameter-dependent models from high-dimensional data. Finally, model maps are introduced to explain the generic unfolding of a newly observed bifurcation.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Twente
Supervisors/Advisors	Brune, Christoph, Supervisor van Putten, Michel J.A.M., Supervisor Meijer, Hil G.E., Co-Supervisor
Award date	14 Jul 2022
Place of Publication	Enschede
Publisher	University of Twente
Print ISBNs	978-90-365-5409-1
DOIs	https://doi.org/10.3990/1.9789036554091
Publication status	Published - 14 Jul 2022

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Thesis M. KaliaFinal published version, 17.7 MB

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title = "Data, models and transitions in computational neuroscience: Bottom-up and top-down approaches",

abstract = "This thesis is concerned with building and analyzing mathematical models in computational neuroscience using bottom-up and top-down approaches. Models are constructed using biophysical principles to understand the pathophysiology of cerebral ischemia at different spatial and temporal scales. Data-driven techniques in conjunction with machine learning are used to build compact parameter-dependent models from high-dimensional data. Finally, model maps are introduced to explain the generic unfolding of a newly observed bifurcation.",

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Data, models and transitions in computational neuroscience: Bottom-up and top-down approaches

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