Thesis supervisor: István Winkler
Location of studies (in Hungarian): BME KTT Abbreviation of location of studies: BME
Description of the research topic:
Statistical learning is regarded as a subconscious process and several studies showed evidence of its independence from general cognitive resources such as working memory. It has been observed at very early in life suggesting that this process significantly affects our behavior, contributes to developmental changes, memory formation, and adaptation. Thus, it is important to describe in detail the different steps of SL from regularity extraction to memory trace formation, because much knowledge is acquired this way. Although several studies investigated auditory statistical learning using behavioral methods, the combination with electroencephalographic measurement (EEG) is relatively rare. The combination of psychophysical and electrophysiological measurements would help to better understand statistical learning and to describing the different stages and interfering factors of implicit memory formation.
The goal of this research is to explore the processing capacities, the temporal dynamics, and the underlying brain networks of auditory SL.Koelsch, S., Busch, T., Jentschke, S. & Rohrmeier, M. (2016). Under the hood of statistical learning: A statistical MMN reflects the magnitude of transitional probabilities in auditory sequences. Scientific Reports, 6: 19741. doi:10.1038/srep19741Romberg, A.R. & Saffran, J.R. (2010). Statistical learning and language acquisition. Wiley Interdisciplinary Reviews: Cognitive Science 1: 906–914. doi: 10.1002
Required language skills: English Number of students who can be accepted: 1
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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