Projects
1. Signatures of expected and unexpected uncertainty in attentional processing
The elusive concept of attention can be formalized using a Bayesian computational framework. In this project, I combine a computational modeling approach with electroencephalography (EEG) and pupil size measurements to study how Bayesian estimates of expected and unexpected uncertainty guide attentional selection. Latest presentation: Marzecová, A., Van den Bussche, E., Verguts, T. (2019). Attentional orienting relies on Bayesian estimates of expected and unexpected uncertainty (View PDF). |
2. How attention and prediction jointly influence visual processing: a predictive coding view
Attention and prediction are understood as mechanisms that facilitate perception based on two sources of information: what is relevant (attention) and what is likely (prediction) in the environment. In this project, I have investigated the interplay between these two top-down mechanisms during visual perception using EEG. Latest publication: Marzecová, A., Schettino, A., Widmann, A., SanMiguel, I., Kotz, S. A., & Schröger, E. (2018). Attentional gain is modulated by probabilistic feature expectations in a spatial cueing task: ERP evidence. Scientific Reports, 8, 54 (View PDF). |
3. Attentional functioning in bilinguals
This project has focused on testing the hypothesis that bilinguals are equipped with more efficient cognitive processing than monolinguals. Using behavioural techniques, I have investigated efficiency and functional lateralization of attentional networks, as well as mechanisms of cognitive flexibility in bilinguals. Latest publication: Marzecová, A. (2015). Bilingual advantages in executive control – Loch Ness Monster case or an instance of neural plasticity? Cortex, 73, 364–366 (View PDF). |