The University of Electro-Communications Graduate School of Informatics and Engineering, School of Informatics and Engineering Department of Computer and Network Engineering, Cluster I(Informatics and Computer Engineering)
About The University of Electro-Communications Graduate School of Informatics and Engineering, School of Informatics and Engineering Department of Computer and Network Engineering, Cluster I(Informatics and Computer Engineering)
2011 - 2015 Conceptulization and Methodology of Picture Mining
2011 - 2013 Simulation of brain functions based on computational learning theory
2008 - 2011 Theory of memory transfer and consolidation in motor learning
2008 - 2010 Modeling the acquisition process of bird song grammars based on computational learning theory
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Papers (41):
Yusuke Kuniyoshi, Rin Kuriyama, Shu Omura, Carlos Enrique Gutierrez, Zhe Sun, Benedikt Feldotto, Ugo Albanese, Alois C. Knoll, Taiki Yamada, Tomoya Hirayama, et al. Embodied bidirectional simulation of a spiking cortico-basal ganglia-cerebellar-thalamic brain model and a mouse musculoskeletal body model distributed across computers including the supercomputer Fugaku. Frontiers in Neurorobotics. 2023. 17
Kaaya Tamura, Yuki Yamamoto, Taira Kobayashi, Rin Kuriyama, Tadashi Yamazaki. Discrimination and learning of temporal input sequences in a cerebellar Purkinje cell model. Frontiers in Cellular Neuroscience. 2023. 17
Taira Kobayashi, Rin Kuriyama, Tadashi Yamazaki. Testing an explicit method for multi-compartment neuron model simulation on a GPU. Cognitive Computation. 2023. 15. 1118-1131
Benedikt Feldotto, Jochen Martin Eppler, Cristian Jimenez-Romero, Christopher Bignamini, Carlos Enrique Gutierrez, Ugo Albanese, Eloy Retamino, Viktor Vorobev, Vahid Zolfaghari, Alex Upton, et al. Deploying and Optimizing Embodied Simulations of Large Scale Spiking Neural Networks on HPC Infrastructure. Frontiers in Neuroinformatics. 2022. 16. 884180-884180
Tadashi Yamazaki, Jun Igarashi, Hiroshi Yamaura. Human-scale Brain Simulation via Supercomputer: A Case Study on the Cerebellum. Neuroscience. 2021. 462. 235-246