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Simulating Receptor Induced Cascades in Neurons – with Special Reference to Basal Ganglia.
KTH, School of Computer Science and Communication (CSC).
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In order to process and transmit information, chemical signaling occurs via synapses between neurons. This signaling uses a wide range of receptors, and synaptic information processing encompasses both bio-chemical reactions and molecule diffusions. One aim of this thesis is to understand receptor-induced cascades involved in synaptic plasticity in basal ganglia. To investigate the mechanism of signaling cascades, computational modeling of biochemical networks is essential. In particular, some aspects can be captured with deterministic models, but often modeling such cascades in a stochastic manner is necessary. In this thesis I have looked into ordinary differential equation (ODE) for deterministic simulation and NeuroRD a tool for stochastic reaction-diffusion simulation. I have investigated how NeuroRD is built from the structural and functional point of view to facilitate its use by others in the future.

Place, publisher, year, edition, pages
Trita-CSC-E, ISSN 1653-5715 ; 2011:078
National Category
Computer Science
URN: urn:nbn:se:kth:diva-130780OAI: diva2:654227
Educational program
Master of Science - Computational and Systems Biology
Available from: 2013-10-07 Created: 2013-10-07

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