Ádám Takács

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 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 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.