Zobrazeno 1 - 10
of 221
pro vyhledávání: '"Haruhiko Nishimura"'
Autor:
Yudai Ebato, Sou Nobukawa, Yusuke Sakemi, Haruhiko Nishimura, Takashi Kanamaru, Nina Sviridova, Kazuyuki Aihara
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The echo state network (ESN) is an excellent machine learning model for processing time-series data. This model, utilising the response of a recurrent neural network, called a reservoir, to input signals, achieves high training efficiency. I
Externí odkaz:
https://doaj.org/article/d59bb06dcfa64ad7abd39657092772ba
Autor:
Anh Tu Tran, Sou Nobukawa, Nobuhiko Wagatsuma, Keiichiro Inagaki, Hirotaka Doho, Teruya Yamanishi, Haruhiko Nishimura
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 10 (2024)
IntroductionChaotic resonance is similar to stochastic resonance, which emerges from chaos as an internal dynamical fluctuation. In chaotic resonance, chaos-chaos intermittency (CCI), in which the chaotic orbits shift between the separated attractor
Externí odkaz:
https://doaj.org/article/00d62e7ecbc94d8589b43b32b041f88f
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
IntroductionThe deep echo state network (Deep-ESN) architecture, which comprises a multi-layered reservoir layer, exhibits superior performance compared to conventional echo state networks (ESNs) owing to the divergent layer-specific time-scale respo
Externí odkaz:
https://doaj.org/article/f8e96967988749a184e8cda291afd36a
Publikováno v:
IEEE Access, Vol 10, Pp 15699-15706 (2022)
In nonlinear dynamical systems with barriers/thresholds, the signal response against a weak external input signal is enhanced by an appropriate additive noise (stochastic resonance). In recent years, progress in the application of stochastic resonanc
Externí odkaz:
https://doaj.org/article/38efed86af204c1bb71a33bd58e82900
Autor:
Sou Nobukawa, Haruhiko Nishimura, Nobuhiko Wagatsuma, Keiichiro Inagaki, Teruya Yamanishi, Tetsuya Takahashi
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 7 (2021)
Stochastic resonance is a phenomenon in which the effects of additive noise strengthen the signal response against weak input signals in non-linear systems with a specific barrier or threshold. Recently, several studies on stochastic resonance have b
Externí odkaz:
https://doaj.org/article/f20a13aab343460e94f0950da02d431c
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
Reduced integrity of neural pathways from frontal to sensory cortices has been suggested as a potential neurobiological basis of attention-deficit hyperactivity disorder. Neurofeedback has been widely applied to enhance reduced neural pathways in att
Externí odkaz:
https://doaj.org/article/25d6ba45716f4bb0808a21d0a5292909
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 6 (2020)
Bipolar disorder (BD), which involves mood swings between mania and depression, is associated with multiple relapses during long-term treatment and high suicide and morbidity rates. In BD, the circadian rhythms, which are measured by daily mood score
Externí odkaz:
https://doaj.org/article/1aaa460431b049e0bf3ee846c704b60c
Autor:
Sou Nobukawa, Teruya Yamanishi, Kanji Ueno, Kimiko Mizukami, Haruhiko Nishimura, Tetsuya Takahashi
Publikováno v:
Frontiers in Human Neuroscience, Vol 14 (2020)
Despite growing evidence that high creativity leads to mental well-being in older individuals, the neurophysiological bases of creativity remain elusive. Creativity reportedly involves multiple brain areas and their functional interconnections. In pa
Externí odkaz:
https://doaj.org/article/ee3e73a51e14424fa58f76952d32412e
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Chronotherapy is a treatment for mood disorders, including major depressive disorder, mania, and bipolar disorder (BD). Neurotransmitters associated with the pathology of mood disorders exhibit circadian rhythms. A functional deficit in the neural ci
Externí odkaz:
https://doaj.org/article/a59ee867e1d448acac26249a289e1acb
Autor:
Sou Nobukawa, Haruhiko Nishimura
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 6 (2020)
Multiple non-linear systems demonstrate the phenomenon where fluctuations enhance the synchronization and periodic behaviors of the system. In the phenomenon induced by stochastic additive noise, stochastic resonance, noise enhances the synchronizati
Externí odkaz:
https://doaj.org/article/cc642dc9ba894f8b9daccb4f370b4132