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N-way Decomposition: Towards Linking Concurrent EEG and fMRI Analysis During Natural Stimulus.

, , , , и . MICCAI (1), том 10433 из Lecture Notes in Computer Science, стр. 382-389. Springer, (2017)

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Michael Schoierer

NS-Diktatur, Anomie und Demokratisierung Westdeutschlands. Uni Augsburg, (2007)

Michael Krug

X-ray crystallographic analysis of the archaeal transcriptional regulator TrmB and development of a graphical user interface for the monochromatic diffraction data processing software XDS. Uni Konstanz, (2009)

Michael Bernateck

Komplexes Regionales Schmerzsyndrom Typ 1 (M.Sudeck): neue Aspekte zur Symptomatologie, Pathogenese, Diagnostik und Therapie. MedH Hannover, habilitation, (2009)

Michael Bode

Le groupe international de sociétés: le système de conflit de lois en droit comparé français et allemand. HU Berlin, (2009)

Michael Liecke

Subnationale Clusterpolitik: die Biotechnologiepolitik deutscher Länder im Vergleich. Uni München, (2009)
 

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A disturbance of nonlinear interdependence in scalp EEG of subjects with first episode schizophrenia., , , , , , , и . NeuroImage, 20 (1): 466-478 (2003)A Dendritic Mechanism for Decoding Traveling Waves: Principles and Applications to Motor Cortex., , и . PLoS Comput. Biol., (2013)Mechanisms of Zero-Lag Synchronization in Cortical Motifs., , , и . PLoS Comput. Biol., (2014)Detecting depression: A comparison between spontaneous and read speech., , , , , и . ICASSP, стр. 7547-7551. IEEE, (2013)Modulation of excitatory synaptic coupling facilitates synchronization and complex dynamics in a nonlinear model of neuronal dynamics., , и . Neurocomputing, (2003)Deconvolution of neural dynamics from fMRI data using a spatiotemporal hemodynamic response function., , , и . NeuroImage, (2014)The reorganization of corticomuscular coherence during a transition between sensorimotor states., , и . NeuroImage, (2014)Upregulation of cortico-cerebellar functional connectivity after motor learning., , , , и . NeuroImage, (2016)Predicting brain stimulation treatment outcomes of depressed patients through the classification of EEG oscillations., , , , и . EMBC, стр. 5266-5269. IEEE, (2016)Modeling spectral variability for the classification of depressed speech., , , , и . INTERSPEECH, стр. 857-861. ISCA, (2013)