Collective Almost Synchronization-based model to extract and predict features of EEG signals

Nguyen, Phuong Thi MaiHayashi, YoshikatsuBaptista, M. S.Kondo, Toshiyuki2020-10-092020-10-092020-10-01Nguyen, P T M, Hayashi, Y, Baptista, M S & Kondo, T 2020, 'Collective Almost Synchronization-based model to extract and predict features of EEG signals', Scientific Reports, vol. 10, 16342. https://doi.org/10.1038/s41598-020-73346-z2045-2322https://hdl.handle.net/2164/15215This research was supported by JSPS KAKENHI (Grant Numbers: JP17KK0064, JP18K19732, JP19H05727, and JP20H02111) and a research grant from the Institute of Global Innovation Research at Tokyo University of Agriculture and Technology.163859342engBiophysical modelsComputational modelsComputational neuroscienceHURST EXPONENTNETWORKSBRAIN DYNAMICSQC PhysicsQA MathematicsGeneralSupplementary DataQCQACollective Almost Synchronization-based model to extract and predict features of EEG signalsJournal article10.1038/s41598-020-73346-zhttp://www.scopus.com/inward/record.url?scp=85091788972&partnerID=8YFLogxK10