Hochschulschrift
Novel multivariate data analysis techniques to determine functionally connected networks within the brain from EEG or MEG data
- Alternative title
-
Neue multivariate Datenanalyseverfahren zur Bestimmung von funktionell verknüpften Netzwerken im Gehirn auf der Basis von EEG oder MEG Daten
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Berlin, Technische Universität Berlin, Diss., 2014
- Event
-
Veröffentlichung
- (where)
-
Berlin
- (who)
-
Technische Universität Berlin
- (when)
-
2014
- Creator
- Contributor
- URN
-
urn:nbn:de:kobv:83-opus4-59595
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:35 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Ewald, Arne
- Müller, Klaus-Robert
- Daffertshofer, Andreas
- Nolte, Guido
- Technische Universität Berlin
Time of origin
- 2014
Other Objects (12)
Data-driven analysis for multimodal neuroimaging
Stationary Subspace Analysis: Towards understanding non-stationary data
Spärlich verbundene neuronale Netze und ihre Anwendung
Long range analysis of EEG data
Analyzing Neuroimaging Data Through Recurrent Deep Learning Models
Scaling data mining in massively parallel dataflow systems
Decomposition methods for the fusion of multimodal neuroimaging data
Features and machine learning systems for structured and sequential data
Scrutinizing XAI using linear ground-truth data with suppressor variables
Data-driven estimation and neurophysiological assessment of perceived visual quality
Advances in Neurotechnology for Brain Computer Interfaces
Probabilistic Methods for Network Security. From Analysis to Response
Data-driven analysis for multimodal neuroimaging
Stationary Subspace Analysis: Towards understanding non-stationary data
Spärlich verbundene neuronale Netze und ihre Anwendung
Long range analysis of EEG data
Analyzing Neuroimaging Data Through Recurrent Deep Learning Models
Scaling data mining in massively parallel dataflow systems
Decomposition methods for the fusion of multimodal neuroimaging data
Features and machine learning systems for structured and sequential data
Scrutinizing XAI using linear ground-truth data with suppressor variables
Data-driven estimation and neurophysiological assessment of perceived visual quality
Advances in Neurotechnology for Brain Computer Interfaces
Probabilistic Methods for Network Security. From Analysis to Response
Data-driven analysis for multimodal neuroimaging
Stationary Subspace Analysis: Towards understanding non-stationary data
Spärlich verbundene neuronale Netze und ihre Anwendung
Long range analysis of EEG data
Analyzing Neuroimaging Data Through Recurrent Deep Learning Models
Scaling data mining in massively parallel dataflow systems
Decomposition methods for the fusion of multimodal neuroimaging data
Features and machine learning systems for structured and sequential data
Scrutinizing XAI using linear ground-truth data with suppressor variables
Data-driven estimation and neurophysiological assessment of perceived visual quality
Advances in Neurotechnology for Brain Computer Interfaces