Abstract: Network analysis became a fundamental tool in understanding the structural and functional organization of the brain. The connectome of the cerebral cortex, the most complex part of the brain, is best known at the large scale, which, as a network, represents the connectivity between the different cortical areas or sub-regions. However, in reality brain areas and sub-regions are connected via numerous parallel pathways formed by populations of neurons residing within the areas, sub-regions. This mesoscale, or so called columnar network architecture of the cerebral cortex is not known, largely because of serious experimental limitations. However, graph theory provides some tools to approach the blueprint of the mesoscale cortical network.

The goal of the Neuroscience project is the application of graph theory and network analytic tools to explore the hidden structure of the lar...

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Kacskovics Balázs (2016.09.01 - 2017.06.31)
Témavezető: Dr. Vasúth Mátyás

Kivonat: A GW150914 2016 februári bejelentésével megtörtént a gravitációs hullámok elso detektálása, majd 2015 októberében és decemberében 2 újabb esemény detektálására került sor. Tavalyi év decemberében indult második adat gyujtési periódusban a kollaboráció tagjaként lehetoségünk van a mért adatok kiértékelésére. Az ehhez szükséges programok futtatását, tesztelését és esetleges fejlesztését folytatnánk magyar és LIGO-Virgo kollaborációs gépeken.

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Michał Bejger

Abstract: The aim of this project is to develop a production-ready version of the data-analysis pipeline to search for gravitational-wave signals from the network of Advanced Era LIGO and Virgo interferometric detectors. The algorithm developed by the Polish Virgo-POLGRAW group aims at finding almost-monochromatic gravitational-wave signals from rotating, non-axisymmetric, isolated neutron stars. The detection of such signals will open an exciting possibility of studying the physics of neutron-stars’ interiors, its elastic properties and structure of the crust. Joint project within the Hungarian high-performance computing experts and gravitational-wave experts will be beneficial for both sides and will initiate long-term collaboration in this field.

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