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I am a doctoral research with a background in Psychology (BSc.) and Neuroscience (MSc.). My current research interests are on neural dynamics of predictive processing and statistical learning. In my PhD, I investigate neural tracking and temporal predictions in artificial speech using magnetoencephalography (MEG).
November 2020 - August 2021
- I collected and analyzed MEG data for a 9-months internship project titled: "Rhythmic computations in internal models of speech". Consequently, I wrote my Research Master thesis titled: "Oscillatory phase biases perception of ambiguous words".
Neural oscillations reflect fluctuations in excitability, which biases the percept of ambiguous sensory input. Why this bias occurs is still not fully understood. We hypothesized that neural populations representing likely events are more sensitive, and thereby become active on earlier oscillatory phases, when the ensemble itself is less excitable....