Dr Yukie Nagai | Predictive Learning: A computational theory that accounts for social cognitive development

Guest Lecture

  • Date: Feb 16, 2018
  • Time: 10:00 - 11:00
  • Speaker: Dr Yukie Nagai
  • Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Osaka, Japan
  • Location: MPI for Human Cognitive and Brain Sciences
  • Room: Wilhelm Wundt Room (A400)
My talk presents our computational studies to investigate the underlying mechanism for social cognitive development. Computational approach has a power to embody and test developmental hypotheses and even obtain deeper insights into their neural mechanisms. I have suggested that predictive learning, which is a function of minimizing prediction error in the human brain, plays a key role in development and reproduces various aspects of cognitive abilities such as self-cognition, reading other’s intention, altruistic behavior, and so on. Furthermore, autism spectrum disorder can be characterized by a deficit in prediction ability. My talk shows our robotic experiments to support our theory.
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