Real-time visualization of neuroscience model simulation

Mytakis Dimitrios

URI	http://purl.tuc.gr/dl/dias/DE604457-3C4F-444C-B9EE-4F85433D6BEB	-
Identifier	https://doi.org/10.26233/heallink.tuc.65992	-
Language	en	-
Extent	3.865 kilobytes	en
Title	Real-time visualization of neuroscience model simulation	en
Title	Οπτικοποίηση σε πραγματικό χρόνο αποτελεσμάτων προσομοίωσης νευρωνικών μοντέλων	el
Creator	Mytakis Dimitrios	en
Creator	Μυτακης Δημητριος	el
Contributor [Thesis Supervisor]	Dollas Apostolos	en
Contributor [Thesis Supervisor]	Δολλας Αποστολος	el
Contributor [Committee Member]	Pnevmatikatos Dionysios	en
Contributor [Committee Member]	Πνευματικατος Διονυσιος	el
Contributor [Committee Member]	Mania Aikaterini	en
Contributor [Committee Member]	Μανια Αικατερινη	el
Publisher	Πολυτεχνείο Κρήτης	el
Publisher	Technical University of Crete	en
Academic Unit	Technical University of Crete::School of Electrical and Computer Engineering	en
Academic Unit	Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών	el
Description	Diploma Thesis	el
Description	Διπλωματική Εργασία	el
Content Summary	The large amount of information accumulated over the years and the research on the human - or animal – brain, requires simulations and ways to represent the data. These are necessary both for scientists and non-specialized users, in order to understand better the functions and the way that the brain manages any information it acquires. In the contexts of this diploma thesis, an application has been designed in order to visualize the information obtained after a neural network simulation. The implementation of the Neural Network Simulation is detailed in the diploma thesis titled “Neural Network Simulation Speedup based on Reconfigurable Logic”. The application also enables the input of simulation data, thus acting - in combination with the software system for simulation - as a comprehensive study tool and neural network representation. Due to the fact that biologists who work in the neurobiology field are using standard forms for displaying exit data of a simulation, in this thesis a different approach is being tested. This approach constitutes an effort on the imaging of a non-photorealistic scene, based on scientific discoveries and microscopic photos. In opposition with the current forms of displaying neuron data - such as tables, networks with nodes, graphs - a three-Dimensional space is visualized, by using the game engine Unity. Three-dimensional biological models coexist with some of the forms of displaying, as mentioned above. Two forms of visualization are implemented. The first is based on the idea of raster-plot, but it is a little bit more complicated and more analytic, as it contains the value of cells and dendrites action potential. The second form of visualization was based on the idea of the creation of a three-dimensional world, with three-dimensional neuron cells models in it, and graphs with each neuron and dendrite action potential.	en
Type of Item	Διπλωματική Εργασία	el
Type of Item	Diploma Work	en
License	http://creativecommons.org/licenses/by/4.0/	en
Date of Item	2016-07-11	-
Date of Publication	2016	-
Subject	Insertion of parameters	en
Subject	Dendrite	en
Subject	Neuron	en
Subject	3D Models	en
Subject	Neural network	en
Subject	Visualization	en
Bibliographic Citation	Dimitrios Mytakis, "Real-time visualization of neuroscience model simulation", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2016	en
Bibliographic Citation	Δημήτριος Μυτάκης, "Οπτικοποίηση σε πραγματικό χρόνο αποτελεσμάτων προσομοίωσης νευρωνικών μοντέλων", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2016	el

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Real-time visualization of neuroscience model simulation

Mytakis Dimitrios

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