Psychologists and neuroscientists extensively rely on computational models for studying
and analyzing the human mind. Traditionally, such computational models have been hand …

Typical models of learning assume incremental estimation of continuously-varying decision
variables like expected rewards. However, this class of models fails to capture more …

Making plans for upcoming actions is a computationally demanding process. To mitigate
these demands, individuals can build extensive internal models of their environment …

In a world full of new impressions, well-known sights and challenging problems, brains
handle information and decide on the next action in a goal directed and flexible manner …

Optimal sequential decision-making requires considering a vast number of potential action
sequences, growing exponentially with every step into the future. The theoretical difficulty of …

Cognitive control is essential to human cognitive functioning as it allows us to adapt and
respond to a wide range of situations and environments. The possibility to enhance …