The brain is an immensely complex system, making it hard to account for the brain’s high-level functions, such as cognitive, emotional, and social components. The impairments of these circuits often lead to mental illness.
A new approach, dubbed as computational psychiatry, combines experiments with computational modelling to provide the means to prevent psychiatric disorders. This workshop discusses recent advances in applying neuroeconomics, computational neuroscience, artificial intelligence to the study of decision making, learning and memory. A deeper insight into these functions is expected to permit development of model-based diagnosis of mental disorders.
*Online registration is required (free)
[40-min presentations: Learning and memory]
10:30 Opening remark (Sang Wan Lee)
10:40 – 11:20 [40min] Balanced cortical microcircuitry for working memory and revised NMDA hypothesis (Sukbin Lim, NYU Shanghai)
11:20 – 12:00 [40min] Neural encoding of uncertainty information during one-shot learning (Sang Wan Lee, KAIST)
12:00 – 14:00 Lunch break
[60-min presentations: Decision making and emotion]
14:00 – 15:00 [60min] Value computation in the human brain: its basis and contagious nature (Shinsuke Suzuki, Tohuku University)
15:00 – 16:00 [60min] A computational and neural model of momentary subjective well-being (Robb Rutledge, University College London)
16:00 – 16:30 [30min] Coffee break
16:30 – 17:30 [60min] The construction of confidence and its role in guiding behaviour (Benedetto de Martino, Univ. of Cambridge)
17:30 Closing remark (Sang Wan Lee)