Thesis supervisor: Balázs Hangya
Location of studies (in Hungarian): HUN-REN Institute of Experimental Medicine Abbreviation of location of studies: ELTE
Description of the research topic:
Better understanding the brain function underlying cognitive functions is an important challenge of the 21st century. Analyzing and understanding the vast amount of data available (big data) is a complex task requiring strong quantitative knowledge. Our goal is to understand normal and abnormal learning, attention, decision-making, and the development of dementia in people with Alzheimer's disease, Parkinson's disease and COVID-19 infection. This will require neurophysiological measurements and the evaluation of the results using mathematical methods, including linear statistics and information theory, neuroscience modelling and model selection, Bayesian statistics and the development of biophysical models. We plan to publish our results in leading interdisciplinary and neuroscience journals.
Required language skills: English Further requirements: MSc in quantitative science (e.g. physics, mathematics); programing skills (Python or MATLAB)
Number of students who can be accepted: 3
Deadline for application: 2024-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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