Resting State EEG Classification for Motor Learning Skills Using Echo State Networks
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
Jacobs University Technical Reports ; 37
- Schlagwort
-
Gehirn
Zentralnervensystem
- Ereignis
-
Veröffentlichung
- (wo)
-
Bremen
- (wer)
-
IRC-Library, Information Resource Center der Jacobs University Bremen
- (wann)
-
2017
- Urheber
-
Yuan, Hang
Voelcker-Rehage, Claudia
Huebner, Lena
Godde, Benjamin
- URN
-
urn:nbn:de:gbv:579-opus-1007596
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:55 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Yuan, Hang
- Voelcker-Rehage, Claudia
- Huebner, Lena
- Godde, Benjamin
- IRC-Library, Information Resource Center der Jacobs University Bremen
Entstanden
- 2017
Ähnliche Objekte (12)
Resting state EEG biomarkers in translational neuroscience
Resting-state EEG reveals four subphenotypes of amyotrophic lateral sclerosis
Machine Learning Supervised Classification Methodology for Autism Spectrum Disorder based on Resting-State Electroencephalography (EEG) Signals
The Brain in Pain: Altered Resting-state EEG in Chronic Pain
Determinants of bilingualism predict dynamic changes in resting state EEG oscillations
EEG-meta-microstates: towards a more objective use of resting-state EEG microstate findings across studies
A reusable benchmark of brain-age prediction from M/EEG resting-state signals
Comparison of mobile and clinical EEG sensors through resting state simultaneous data collection
EEG microstate periodicity explained by rotating phase patterns of resting-state alpha oscillations
Resting state networks alteration in schizophrenia
EEG-based mapping of resting-state functional brain networks in patients with Parkinson's disease
The influence of marathon running on resting-state EEG activity: a longitudinal observational study
Resting state EEG biomarkers in translational neuroscience
Resting-state EEG reveals four subphenotypes of amyotrophic lateral sclerosis
Machine Learning Supervised Classification Methodology for Autism Spectrum Disorder based on Resting-State Electroencephalography (EEG) Signals
The Brain in Pain: Altered Resting-state EEG in Chronic Pain
Determinants of bilingualism predict dynamic changes in resting state EEG oscillations
EEG-meta-microstates: towards a more objective use of resting-state EEG microstate findings across studies
A reusable benchmark of brain-age prediction from M/EEG resting-state signals
Comparison of mobile and clinical EEG sensors through resting state simultaneous data collection
EEG microstate periodicity explained by rotating phase patterns of resting-state alpha oscillations
Resting state networks alteration in schizophrenia
EEG-based mapping of resting-state functional brain networks in patients with Parkinson's disease
The influence of marathon running on resting-state EEG activity: a longitudinal observational study
Resting state EEG biomarkers in translational neuroscience
Resting-state EEG reveals four subphenotypes of amyotrophic lateral sclerosis
Machine Learning Supervised Classification Methodology for Autism Spectrum Disorder based on Resting-State Electroencephalography (EEG) Signals
The Brain in Pain: Altered Resting-state EEG in Chronic Pain
Determinants of bilingualism predict dynamic changes in resting state EEG oscillations
EEG-meta-microstates: towards a more objective use of resting-state EEG microstate findings across studies
A reusable benchmark of brain-age prediction from M/EEG resting-state signals
Comparison of mobile and clinical EEG sensors through resting state simultaneous data collection
EEG microstate periodicity explained by rotating phase patterns of resting-state alpha oscillations
Resting state networks alteration in schizophrenia
EEG-based mapping of resting-state functional brain networks in patients with Parkinson's disease