Research Goals
In order to understand the computational mechanisms of the brain, it is essential to combine multiple approaches at different levels, such as the levels of computation, representation, and implementation. The goal of the Computational Neurobiology Group is to develop computational theories of learning, to analyze neurobiological and behavioral data, and to bridge together the knowledge from studies at different levels by way of computer simulations and model-driven experiments.
We focus on the dynamic mechanisms of learning in the cerebellum, the basal ganglia, and the cerebral cortex and the global organization principles of integrating those learning mechanisms as a goal-directed adaptive system.
Research Topics
Learning in the Cerebellar Circuit
Compartmental Model of the Inferior Olive
Neurons
Reinforcement Learning Models of the Basal
Ganglia
Representation of Motion Sequences in the
Frontal Cortex
Dynamic Perception in the Visual Cortex
Members
Publication
Cerebellum(6)
Sequence Representation(6)
Cerebellum, Basal Ganglia, and Cerebral Cortex(4)
Reinforcement Learning(5)
Dynamic Perception in the Visual Cortex(4)
Others(7)
