Yukiori GotoInvited by Satoru Otani, Ph.D. Yukiori Goto, Associate Professor in the Department of Artificial Intelligence and Technology of Kyoto University (Graduate School of Informatics), Japan, will give a talk on Wednesday, January 31st, 02:00 PM (Amphi Baillart, 15-20 Hosptial, 3rd floor).

This talk will be dealing with "Understanding Psychiatric Disorders with Dual Process Model Perspectives: Focuses on Schizophrenia, Autism, and Addiction".

The dual process model has been proposed for almost 100 years, which can be, for instance, dated back to the proposals by Pavlov and Freud. The model explains that human psychological processes are primarily divided into two, bottom-up and tow-down, systems, with specific characteristics in each system. Extensive psychological studies now exist that support the model, along with neuroanatomical and physiological evidence, such as reciprocal interactions between limbic structures and prefrontal cortex. In this talk, I will first present a brief introduction of the dual process model, including its consistency with the Bayesian model of sensory stimulus recognition. Then, I discuss the overarching hypothesis that most, if not all, psychiatric disorder may be explained by imbalance of the bottom-up and top-down processes, for which three psychiatric conditions, namely, schizophrenia spectrum disorder, autism spectrum disorder, and addiction, will be specifically illustrated, with some of our studies on social biases, such as altered recognition of social hierarchy in autistic children, and cognitive and affective dysfunctions in patients with behavioral addiction.

Yukiori Goto is an Associate Professor currently affiliated to the Department of Artificial Intelligence and Technology in Kyoto University Graduate School of Informatics. His research is focused on neuropsychopharmacological and evolutionary biological understanding of psychiatric disorders. He has a broad background in neuroscience, ranging from in vivo electrophysiology in rodents to neurobehavioral testing in non-human primates, and more recently, neuropsychological and survey research in human subjects with and without psychiatric conditions, such as autism spectrum disorder and impulse control disorder (behavioral addiction). As PI or co-Investigator on grants funded by several national and public agencies, He has currently been investigating the roles of dopamine in producing cognitive and social biases in the bottom-up vs. top-down information processing and their disruption in human subjects with psychiatric disorders, specifically addiction, schizophrenia, and autism, using surveys, psychological tests, and functional neuroimaging techniques, in collaborations with clinicians and research groups in Japan, Korea, Turky, and Germany; and reconsideration of psychiatric disorders not as deficits but as environmental adaptation/maladaptation. As a faculty member of the Department of Artificial Intelligence and Technology, his research projects are currently extended into incorporating computational approaches, such as utilization of machine learning for data analysis, toward further understanding of psychiatric disorders.