Makito Oku - Concepedia

Author

Makito Oku

University of Toyama ORCID

Also Known As

M. Oku, MAKITO OKU, Makito Oku, Oku, Makito

Publications

280

Citations

H-Index

Concepts

All Affiliations

University of Toyama The University of Tokyo Center for Excellence in Molecular Cell Science Shanghai Institutes for Biological Sciences Chinese Academy of Sciences

About

Makito Oku is an author at University of Toyama specializing in computational neuroscience, computer science, and social sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	1	1	29
2	Health Sciences	1	1	58
3	Medicine	1	1	58
4	Social Sciences	1	1	10
5	Biostatistics	1	1	58

Makito Oku

Publications

203

Citations

H-Index

Page 1

	Year	Citations
Identifying pre-disease signals before metabolic syndrome in mice by dynamical network biomarkers Keiichi Koizumi, Makito Oku, Shusaku Hayashi, Scientific Reports Metabolic DisorderDynamical Network BiomarkersPre-disease SignalsObesityMetabolic Syndrome	2019	58
Chaos in neurons and its application: Perspective of chaos engineering Yoshito Hirata, Makito Oku, Kazuyuki Aihara Chaos An Interdisciplinary Journal of Nonlinear Science	2012	32
On the covariance matrix of the stationary distribution of a noisy dynamical system Makito Oku, Kazuyuki Aihara Nonlinear Theory and Its Applications IEICE Dynamic NetworkCovariance MatrixEngineeringNoisy Dynamical SystemStochastic Dynamical System	2018	29
Suppression of Dynamical Network Biomarker Signals at the Predisease State (<i>Mibyou</i>) before Metabolic Syndrome in Mice by a Traditional Japanese Medicine (Kampo Formula) Bofutsushosan Keiichi Koizumi, Makito Oku, Shusaku Hayashi, Evidence-based Complementary and Alternative Medicine	2020	22
Elimination of spiral waves in a locally connected chaotic neural network by a dynamic phase space constraint Yang Li, Makito Oku, HE Guo-guang, Neural Networks Chaos TheoryComputational NeuroscienceHigh-dimensional ChaosNeuronal NetworkSpiral Waves	2017	11
Application of the Dynamical Network Biomarker Theory to Raman Spectra Takayuki Haruki, S. Yonezawa, Keiichi Koizumi, Biomolecules	2022	11
Associative dynamics of color images in a large-scale chaotic neural network Makito Oku, Kazuyuki Aihara Nonlinear Theory and Its Applications IEICE Chaotic DynamicsChaos TheoryCellular Neural NetworkComputational NeuroscienceHigh-dimensional Chaos	2011	10
Two Novel Methods for Extracting Synchronously Fluctuated Genes Makito Oku IPSJ Transactions on Bioinformatics	2019	10
Intestinal epithelial BLT1 promotes mucosal repair Shusaku Hayashi, Chithra Muraleedharan, Makito Oku, JCI Insight	2022	10
Low-Sample-Size Data-Driven Re-stabilization of Gene Network Systems Xun Shen, Masahide Morishita, Imura Jun-ichi, IFAC-PapersOnLine	2022	10

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