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).