We are an interdisciplinary laboratory working on the border between human cognition and machine intelligence. We are located in the International Research Center for Neurointelligence, The University of Tokyo.
By building computational models and conducting experiments to study human behavior and brain imaging data, we aim to understand the computation underlying learning, decision making, and spontaneous thoughts. Along the way, we contribute new tools to the community. The main goal of computational models in our lab is not to simulate the system, but rather to understand the high-level computation that the system realizes, and the functionality these computations fulfill.
We also take inspiration from human perception, cognition, and development to build deep learning methods that learn models of the world with similar constraint faced by infants.
In Heidelberg, Germany, July 6-8
Ron will present our work on spontaneous thoughts at CCN, joint work with Schuck Lab and Huys lab, with contribution from many lab members (Aaron, Junxia, etc.). Wei will present his work on the development of semantic-based generalization and discrimination in reinforcement learning through life, also with contribution from many…
In collaboration with Miraikan, we conducted an experiment at Miraikan in 2021-2022. This research aimed to understand how people learn to generalize and refine what they have learned and how the process of learning changes across ages. Visitors to the IRCN exhibition at Miraikan can participate in this study by…