金井良太

Kanai Ryota

所属機関・部署：
職名：代表取締役社長

研究分野 (4件)：認知脳科学 , 認知科学 , 知能情報学 , 神経科学一般

研究キーワード (3件)：人工知能 , 神経科学 , 意識

競争的資金等の研究課題 (1件)：

論文 (144件)：

Foteini Protopapa, Shrikanth Kulashekhar, Masamichi J. Hayashi, Ryota Kanai, Domenica Bueti. Effective Connectivity in a Duration Selective Cortico-Cerebellar Network. 2022
Alan S. R. Fermin, Toko Kiyonari, Yoshie Matsumoto, Haruto Takagishi, Yang Li, Ryota Kanai, Masamichi Sakagami, Rei Akaishi, Naho Ichikawa, Masahiro Takamura, et al. The neuroanatomy of social trust predicts depression vulnerability. Scientific Reports. 2022. 12. 1
Martin Biehl, Ryota Kanai. Non-trivial informational closure of a Bayesian hyperparameter. 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020. 2020. 1202-1209
Edith Hofer, Gennady V. Roshchupkin, Hieab H. H. Adams, Maria J. Knol, Honghuang Lin, Shuo Li, Habil Zare, Shahzad Ahmad, Nicola J. Armstrong, Claudia L. Satizabal, et al. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults. Nature Communications. 2020. 11. 1
Jun Kitazono, Ryota Kanai, Masafumi Oizumi. Efficient search for informational cores in complex systems: Application to brain networks. Neural networks : the official journal of the International Neural Network Society. 2020. 132. 232-244

MISC (25件)：

Rufin VanRullen, Ryota Kanai. Deep learning and the Global Workspace Theory. Trends in Neurosciences. 2021. 44. 9. 692-704
Yoko Higuchi, Naotsugu Tsuchiya, Ryota Kanai, Kazuhisa Shibata. Extensive training with feedback reduces attentional demand in visual feature binding. Journal of Vision. 2019. 19. 10. 185a
Hironori Kuga, Toshiaki Onitsuka, Yoji Hirano, Itta Nakamura, Naoya Oribe, Hiroaki Mizuhara, Ryota Kanai, Shigenobu Kanba, Takefumi Ueno. Increased BOLD Signals Elicited by High Gamma Auditory Stimulation of the Left Auditory Cortex in Acute State Schizophrenia (vol 12, pg 143, 2016). EBIOMEDICINE. 2017. 16. 312-312
Nicholas Guttenberg, Nathaniel Virgo, Olaf Witkowski, Hidetoshi Aoki, Ryota Kanai. Permutation-equivariant neural networks applied to dynamics prediction. 2016
Nicholas Guttenberg, Martin Biehl, Ryota Kanai. Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks. 2016

特許 (2件)：

学歴 (2件)：

学位 (1件)：

経歴 (4件)：

受賞 (10件)：

全件表示

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金井 良太