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