Regensburg 2019 – wissenschaftliches Programm
SYCZ 1.5: Hauptvortrag
Donnerstag, 4. April 2019, 11:45–12:15, H4
Occam's razor and complex networks from brain to climate — •Jaroslav Hlinka — Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic
Brain dynamics constitute one of the archetypal complex systems showing a plethora of rich emergent phenomena. To understand the mechanisms behind the observed properties, computational modeling and sophisticated data analysis approaches are increasingly adopted. However, the complexity of the applied approaches may lead into a new set of problems related to the ambiguity of the appropriate interpretation of the analysis or modeling results. In such cases, it may be suitable to apply the general heuristic principle of parsimony, known as the Occam's razor. In this contribution we shall demonstrate how some rich and complex properties of brain dynamics and connectivity structure can be explained from relatively simple principles and models such as purely linear stochastic dynamics. The specific examples include small-world property of brain networks , detecting brain states  and (non)linear network inference utility . Relevance to other complex systems (climate dynamics, stock networks) will be highlighted on examples.
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