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The 1st term (2007) Researchers & Research Theme
Akira Sasaki Tatsuo Shibata Michiko Sugawara Takashi Tateno
Atsushi Tero Tatsuya Togashi Takashi Miura Atsushi Mochizuki
Ikuko Motoike Yoshihiro Morishita Atsushi Yamauchi
Takashi Tateno
Professor, Graduate School of Information Science and Technology
Hokkaido University
Hybrid system modeling in neural networks of the basal ganglia
This research aims to explore the basic principles of action learning and to focus on testing hypotheses of reinforcement learning at the level of neurons and neural circuits. To this end, the dynamics of hybrid systems, consisting of interacting neural network@models and actual neurons in brain slices, are studied, in a new framework which combines electrophysiological experiments and computational modeling. This framework is designed to address the validity of hypotheses about basal ganglia network functions, using a bottom-up approach.
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