Blar i Doctoral theses (RealTek) på forfatter "Ponossov, Arkadi"
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Alternative frameworks for analysis of gene regulatory networks with delay
Shlykova, Irina (PhD Thesis;2010:53, Doctoral thesis, 2010)When trying to understand the role and functioning of a gene regulatory network (GRN), the first step is to assemble components of the network and interactions between them. It is important that models are kept simple but ... -
Comparative analysis of heterogeneous and homogeneous neural field models
Kolodina, Karina (PhD Thesis;2019:19, Doctoral thesis, 2019)The present thesis is devoted to the comparative analysis of heterogeneous and homogeneous neural field models. The motivation for this work stems from the fact that there is considerable interest in processes in neural ... -
Developing models for winter processes in grasslands – Bayesian calibration and sensitivity analysis
Thorsen, Stig Morten (PhD Thesis;2010:9, Doctoral thesis, 2010)For grass-based agriculture at high latitudes, poor overwintering of perennial forage grasses often has economic consequences due to yield loss and re-establishment of grass fields. In order to assess the performance of ... -
Differential inclusions and piecewise models in biochemical and gene regulatory networks
Machina, Anna (PhD Thesis;2010:31, Doctoral thesis, 2010)The simplification of a complex system is a widely accepted way of its modeling, the inevitable drawback of which is the ”resolution reduction”, i.e., the loss of information inherent to the real-world processes. In this ... -
Efficient model selection in the Tikhonov Regularization framework and pre-processing of spectroscopic data
Skogholt, Joakim (PhD Thesis;2019:99, Doctoral thesis, 2019)Machine learning is a hot topic in today's society. Data sets of varying sizes show up in a number of contexts, and learning from data sets is important for answering many questions. There is a plethora of methods that can ... -
Mathematical aspects of localized activity in neural field models
Oleynik, Anna (PhD Thesis;2011:37, Doctoral thesis, 2011)Neural field models assume the form of integral and integro-differential equations, and describe non-linear interactions between neuron populations. Such models reduce the dimensionality and complexity of the microscopic ... -
Methods of functional analysis in homogenized neural field theory
Burlakov, Evgenii (PhD Thesis;2016:66, Doctoral thesis, 2016-11-24)One of the major challenges in neurobiology remains understanding the relationship between complex neural network dynamics underlying spatially structured activity states and the corresponding neural circuitry for which ...