|Academic Society Membership||The Japan Neuroscience Society, Society for Neuroscience|
In our daily life, we often cooperate with or compete against other people. The aim of our research is to understand the neural computations underlying such social decision-making. To elucidate these 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, one constructs a quantitative computational model of a particular decision-making paradigm and applies this model to neuroimaging data in order to identify neural activity related to each of the specific computations in the decision-making process. We believe our studies involving model-based fMRI [1, 2, 3] can provide significant insight into understanding the neural underpinnings of social disorders such as social anxiety and autism.
 Suzuki S, et al. (2012) Neuron 74(6): 1125-1137
 Suzuki S, et al. (2015) Neuron 86(2): 591-602
 Suzuki S, et al. (2016) Proc Natl Acad Sci USA 113(14): 3755-3760