Thesis (Selection of subject)Thesis (Selection of subject)(version: 393)
Thesis details
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Nástroj pro průzkum a vizualizaci modelu pro simulátor mozku Mozaik
Thesis title in Czech: Nástroj pro průzkum a vizualizaci modelu pro simulátor mozku Mozaik
Thesis title in English: A model inspection/visualization tool for brain simulation framework.
Key words: vědecký software|vizualizace|webová aplikace|biologické neuronové sítě|neurověda
English key words: scientific software|visualization|web application|biological neural networks|neuroscience
Academic year of topic announcement: 2022/2023
Thesis type: Bachelor's thesis
Thesis language: čeština
Department: Department of Software and Computer Science Education (32-KSVI)
Supervisor: Mgr. Ján Antolík, Ph.D.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 31.03.2023
Date of assignment: 31.03.2023
Confirmed by Study dept. on: 30.05.2023
Date and time of defence: 07.09.2023 09:00
Date of electronic submission:20.07.2023
Date of submission of printed version:20.07.2023
Date of proceeded defence: 07.09.2023
Opponents: Mgr. Klára Pešková, Ph.D.
 
 
 
Guidelines
Simulations of biological neural networks are becoming an important tool for advancing our understanding of how brain processes information. Mozaik is an automated workflow for large-scale neural simulations. The model of primary visual cortex developed in our lab, and implemented in Mozaik [1], has a complex connectivity structure. Although Mozaik performs various tests to verify that the connectivity has been constructed as expected, currently, there is no easy way to visualize the network spatial structure in Mozaik. The aim of this project is to develop a model inspection and visualization tool for Mozaik, possibly building on existing technologies such as ConnPlotter, Moogli, or NeurAnim.
References
[1] Antolík, J., & Davison, A. P. (2013). Integrated workflows for spiking neuronal network simulations. Frontiers in Neuroinformatics, 7(December), 1–15. https://doi.org/10.3389/fninf.2013.00034
 
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