Our current research aim is to understand the neural and computational principles underlying human decision-making. To elucidate the computational and neural mechanisms, we employ a new neuroimaging method known as “model-based fMRI” that combines functional magnetic resonance imaging (fMRI) with computational modeling. In this approach, we construct a quantitative computational model of a particular decision-making paradigm and apply this model to neuroimaging data in order to identify neural activity related to each of the specific computations in the decision-making process. Our studies involving model-based fMRI can provide significant insight into understanding the neural underpinnings of mental disorders such as obsessive-compulsive disorder, depression, anxiety and autism.

Keywords: Neuroeconomics, Decision Neuroscience, Social Neuroscience, Computational Psychiatry

Contact:

Shinsuke Suzuki
Professor, Faculty of Social Data Science, Hitotsubashi University, Japan
Honorary Senior Fellow, Centre for Brain, Mind and Markets, University of Melbourne, Australia
E-mail: shinsuke.szk[at]gmail.com