Most issues studied in social sciences arise from people's choices and decision-making. For instance, the price of a product is determined by the consequences of people's choices to "buy that" or "sell this". In my laboratory, we aim to elucidate the information processing in the brain that supports human decision-making. We conduct interdisciplinary research that integrates various approaches such as neuroscience, economics, and computer sciences (e.g., machine learning and artificial intelligence). Furthermore, we explore computational psychiatry to understand mental disorders such as depression, obsessive-compulsive disorder, and gambling addiction from the perspective of neural information processing in decision-making. Finally, we also work on neuromarketing as an application of decision neuroscience.