Andrea Kóbor

The paper examines how alpha and theta oscillations change with escalating risk during reward anticipation in sequential decision making, finding distinct patterns linked to attention and monitoring demands.

This study investigates how initial experience influences risky decisions after a change point, finding that recent experiences adjust behavior while initial experience still has an impact.

The paper measures ERP markers of anticipation in a reaction time task to show larger CNV for unpredictable events, suggesting enhanced attentional resources for implicit anticipation of probabilistic regularities.

The paper investigates how statistical and rule-based learning mechanisms are represented in EEG data and identifies distinct neural correlates for each.

This study shows that implicit prior knowledge of predictable visual stimuli influences processing of unpredictable stimuli, with prior knowledge persisting longer than it takes to update.

The paper investigates how word stress is processed in the brain using ERPs, finding that Hungarian listeners treat native stress patterns as non-deviant but non-native ones as deviant, suggesting language-specific representations.

This study finds adolescents do not take more risks than children or adults in a novel uncertain situation, challenging the idea of increased risk-taking during adolescence.

This study uses EEG to examine how humans reorient in a virtual plus-maze, finding rapid neural responses to teleportation events.

This study investigates the relationship between implicit probabilistic sequence learning and risky decision making, identifying clusters of participants with distinct risk-taking behaviors and sensitivity to statistical regularities.