Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general purpose computing on graphics processing units J Igarashi, O Shouno, T Fukai, H Tsujino Neural Networks 24 (9), 950-960, 2011 | 58 | 2011 |
Computational model of recurrent subthalamo-pallidal circuit for generation of parkinsonian oscillations O Shouno, Y Tachibana, A Nambu, K Doya Frontiers in neuroanatomy 11, 21, 2017 | 54 | 2017 |
Photo-realistic video prediction on natural videos of largely changing frames O Shouno arXiv preprint arXiv:2003.08635, 2020 | 24 | 2020 |
A spiking neuron model of the basal ganglia circuitry that can generate behavioral variability O Shouno, J Takeuchi, H Tsujino The basal ganglia IX, 191-200, 2009 | 19 | 2009 |
Deep unsupervised learning of a topological map of vehicle maneuvers for characterizing driving styles O Shouno 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 15 | 2018 |
NADPH-diaphorase containing cells and fibers in the central nervous system of squid, Loligo bleekeri keferstein T Kimura, O Shouno, G Matsumoto Life sciences 61 (24), 2375-2381, 1997 | 12 | 1997 |
Molecular cloning and characterization of a putative neural calcium channel α1-subunit from squid optic lobe T Kimura, O Shouno, K Hirota, T Saito, G Matsumoto, C Sato Biochemical and biophysical research communications 230 (1), 147-154, 1997 | 9 | 1997 |
Neural trajectory analysis of recurrent neural network in handwriting synthesis KB Charbonneau, O Shouno arXiv preprint arXiv:1804.04890, 2018 | 7 | 2018 |
Modular neural networks for reinforcement learning with temporal intrinsic rewards J Takeuchi, O Shouno, H Tsujino 2007 International Joint Conference on Neural Networks, 1151-1156, 2007 | 7 | 2007 |
Preparation and Characterization of Monoclonal Antibodies Specific for Lauroylated Isoform of Bovine Transducin α‐Subunit: Immunohistochemical Analysis of Bovine Retinas O Shouno, K Kokame, M Araki, T Takao, Y Shimonishi, M Murata, ... Journal of neurochemistry 66 (5), 2188-2196, 1996 | 5 | 1996 |
Dynamics of basal ganglia and thalamus in Parkinsonian tremor J Morén, J Igarashi, O Shouno, J Yoshimoto, K Doya Multiscale Models of Brain Disorders, 13-20, 2019 | 4 | 2019 |
Connectionist reinforcement learning with cursory intrinsic motivations and linear dependencies to multiple representations J Takeuchi, O Shouno, H Tsujino The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 4 | 2006 |
Contribution of nucleus accumbens core (AcbC) to behavior control during a learned resting period: introduction of a novel task and lesion experiments C Sato, M Hoshino, N Ikumi, K Oba, A Koike, O Shouno, T Sekiguchi, ... Plos one 9 (4), e95941, 2014 | 3 | 2014 |
Local circuit model of the subthalamo-pallidal network for the generation of parkinsonian oscillations O Shouno, K Doya BMC Neuroscience 15 (Suppl 1), P168, 2014 | 3 | 2014 |
Modular neural networks for model-free behavioral learning J Takeuchi, O Shouno, H Tsujino Artificial Neural Networks-ICANN 2008: 18th International Conference, Prague …, 2008 | 3 | 2008 |
The basal ganglia O Shouno, J Takeuchi, H Tsujino | 2 | 2009 |
Basal ganglia models for autonomous behavior learning H Tsujino, J Takeuchi, O Shouno Creating Brain-Like Intelligence: From Basic Principles to Complex …, 2009 | 2 | 2009 |
Semi-Supervised Estimation of Driving Behaviors Using Robust Time-Contrastive Learning T Kuroki, O Shouno, J Yoshimoto 2021 Asia-Pacific Signal and Information Processing Association Annual …, 2021 | 1 | 2021 |
Characterization of N-acylation of Goα purified from bovine retinas O Shouno, K Sanada, T Asano, Y Fukada NeuroReport 10 (14), 2999-3002, 1999 | 1 | 1999 |
Estimation of Driver Behavior using Smart Device and Robust Time-Contrastive Learning T Kuroki, O Shouno, K Ikeda, J Yoshimoto IEICE Technical Report; IEICE Tech. Rep. 119 (453), 21-25, 2020 | | 2020 |