If it were not for understanding how our mind and brain can navigate through the chaotic world around us, I would never study psychology. During the early days of my research career, I tried to understand the boundaries of human cognition by investigating the question of unity versus diversity of executive functions. Executive functions are a group of cognitive processes that help us cope with our ever-changing environment. During my Ph.D., however, the validity of the question itself became a question, which to this day is still one of my research foci. That is, whether cognitive control can be better understood as a distributed control system or a centralized one. Not only the questions but also the tools that I used for addressing those questions opened several ongoing research topics for me, including the effects of placebo and (hypnotic-)suggestions on cognitive functions and human consciousness. After my Ph.D., expanding my research into decision-making, I became intrigued by different elements that can affect our choices. I am still investigating how various components of decision-making interact and whether it is possible to dissociate their underpinning neural systems. Early in my career, I became convinced (to this day at least) that predictive coding provides a potent framework for understanding human perception, action, and cognition. That is why at the moment understanding human cognition through the predictive coding framework is one of my main research interests. I used several neuroimaging techniques, including electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), and various statistical analyses, such as structural equation modeling (SEM), confirmatory and exploratory factor analysis (FA), and Bayesian statistics. Enhancing existing analysis techniques is always of great interest to me.