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In recent years, imitation learning using neural networks has enabled robots to perform flexible tasks. However, since neural networks operate in a feedforward structure, they do not possess a mechanism to compensate for output errors. To address thi
Externí odkaz:
http://arxiv.org/abs/2411.12255
Autor:
Konosu, Keisuke, Okawa, Yuji
The formula for correlation functions based on quantum $A_\infty$ algebras in arXiv:2203.05366, arXiv:2305.11634, and arXiv:2305.13103 requires us to divide the action into the free part and the interaction part. We present a new form of the formula
Externí odkaz:
http://arxiv.org/abs/2405.10935
We derive the new identity in homotopy algebras which directly corresponds to the Schwinger-Dyson equations in quantum field theory. As an application, we derive the Ward-Takahashi identities. We demonstrate that the Ward-Takahashi identities are rep
Externí odkaz:
http://arxiv.org/abs/2405.09243
Autor:
Konosu, Keisuke
Publikováno v:
Progress of Theoretical and Experimental Physics, Volume 2024, Issue 9, September 2024, 093B01
We extend the formula for correlation functions of free scalar field theories and Dirac field theories in terms of quantum $A_{\infty}$ algebras presented in arXiv:2305.11634 to general scalar-Dirac systems. We obtain the result that the same formula
Externí odkaz:
http://arxiv.org/abs/2305.13103
Autor:
Konosu, Keisuke, Okawa, Yuji
We extend the formula for correlation functions of scalar field theories in terms of quantum $A_{\infty}$ algebras presented in arXiv:2203.05366 to incorporate Dirac fields. We use a description that is analogous to string field theory, and the formu
Externí odkaz:
http://arxiv.org/abs/2305.11634
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 9, Pp 1-48 (2024)
Abstract We derive the new identity in homotopy algebras which directly corresponds to the Schwinger-Dyson equations in quantum field theory. As an application, we derive the Ward-Takahashi identities. We demonstrate that the Ward-Takahashi identitie
Externí odkaz:
https://doaj.org/article/de15a326ab5d4a638e6daa66f195d84b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The central nervous system predictively controls posture against external disturbances; however, the detailed mechanisms remain unclear. We tested the hypothesis that the cerebellar vermis plays a substantial role in acquiring predictive pos
Externí odkaz:
https://doaj.org/article/d471ba51380b4e928c85e17644f2b0b8
Autor:
Konosu, Akira1 (AUTHOR) konosu.akira@gmail.com, Matsuki, Yuma1 (AUTHOR), Fukuhara, Kaito1 (AUTHOR), Funato, Tetsuro1 (AUTHOR), Yanagihara, Dai2 (AUTHOR) dai-y@idaten.c.u-tokyo.ac.jp
Publikováno v:
Scientific Reports. 2/7/2024, Vol. 14 Issue 1, p1-10. 10p.
Akademický článek
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Autor:
Priangga Perdana Putra, Shuichi Akasaka, Yuichi Konosu, Shaoling Zhang, Akihiko Tanioka, Hidetoshi Matsumoto
Publikováno v:
Nanomaterials, Vol 14, Iss 6, p 491 (2024)
In the past two decades, many studies on piezoelectric nanofibers (NFs) prepared from poly(vinylidene fluoride) (PVDF) and its copolymers, including single NFs, randomly oriented nonwoven mats, and aligned NFs, have been reported. However, studies on
Externí odkaz:
https://doaj.org/article/128d74246bb24333a5742cfb0a215c1c