Zobrazeno 1 - 6 of 6 pro vyhledávání: '"Takayuki Onojima"'
1
Akademický článek
A dynamical systems approach for estimating phase interactions between rhythms of different frequencies from experimental data.
Autor: Takayuki Onojima, Takahiro Goto, Hiroaki Mizuhara, Toshio Aoyagi
Publikováno v: PLoS Computational Biology, Vol 14, Iss 1, p e1005928 (2018)
Synchronization of neural oscillations as a mechanism of brain function is attracting increasing attention. Neural oscillation is a rhythmic neural activity that can be easily observed by noninvasive electroencephalography (EEG). Neural oscillations
Externí odkaz: https://doaj.org/article/a88b3871861e4cf4bef66fe33e6485d3
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2
Akademický článek
Ongoing slow oscillatory phase modulates speech intelligibility in cooperation with motor cortical activity.
Autor: Takayuki Onojima, Keiichi Kitajo, Hiroaki Mizuhara
Publikováno v: PLoS ONE, Vol 12, Iss 8, p e0183146 (2017)
Neural oscillation is attracting attention as an underlying mechanism for speech recognition. Speech intelligibility is enhanced by the synchronization of speech rhythms and slow neural oscillation, which is typically observed as human scalp electroe
Externí odkaz: https://doaj.org/article/ba4566a210564d8e89febd3a0f5141a1
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3
A state-informed stimulation approach with real-time estimation of the instantaneous phase of neural oscillations by a Kalman filter
Autor: Keiichi Kitajo, Takayuki Onojima
Publikováno v: Journal of neural engineering. 18(6)
Objective. We propose a novel method to estimate the instantaneous oscillatory phase to implement a real-time system for state-informed sensory stimulation in electroencephalography (EEG) experiments. Approach. The method uses Kalman filter-based pre
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51a8f6bf72282e2af4db8e957ab19651
https://pubmed.ncbi.nlm.nih.gov/34644689
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4
A closed-loop stimulation approach with real-time estimation of the instantaneous phase of neural oscillations by a Kalman filter
Autor: Keiichi Kitajo, Takayuki Onojima
We propose a novel method to estimate the instantaneous oscillatory phase to implement a real-time system for closed-loop sensory stimulation in electroencephalography (EEG) experiments. The method uses Kalman filter-based prediction to estimate curr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::70f79edf7888df04fbe4b7e66e3321a7
https://doi.org/10.1101/2021.04.25.441309
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5
Real-Time Implementation of EEG Oscillatory Phase-Informed Visual Stimulation Using a Least Mean Square-Based AR Model
Autor: Keiichi Kitajo, Toshihisa Tanaka, Aqsa Shakeel, Takayuki Onojima
Publikováno v: Journal of Personalized Medicine, Vol 11, Iss 38, p 38 (2021)
Journal of Personalized Medicine
Volume 11
Issue 1
It is a technically challenging problem to assess the instantaneous brain state using electroencephalography (EEG) in a real-time closed-loop setup because the prediction of future signals is required to define the current state, such as the instanta
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96b4a1932146f342fba1284fffa5b190
https://www.mdpi.com/2075-4426/11/1/38
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