His main research concerns Neuroscience, Magnetoencephalography, Electroencephalography, Stimulus and Artificial intelligence. His study connects Rhythm and Neuroscience. The various areas that Robert Oostenveld examines in his Magnetoencephalography study include Neuroimaging, Brain activity and meditation, Central nervous system and Sensory system.
His Electroencephalography research incorporates themes from Working memory, Cognition, Default mode network and Resting state fMRI. In his research, Spectral component, Speech recognition, Spatial filter, Calcarine sulcus and Gamma band is intimately related to Stimulation, which falls under the overarching field of Stimulus. Robert Oostenveld interconnects Machine learning, Event-related potential and Pattern recognition in the investigation of issues within Artificial intelligence.
His scientific interests lie mostly in Neuroscience, Magnetoencephalography, Electroencephalography, Artificial intelligence and Cognitive psychology. His research on Neuroscience often connects related topics like Rhythm. His studies deal with areas such as Somatosensory system, Sensory system, Resting state fMRI, Brain activity and meditation and Brain mapping as well as Magnetoencephalography.
His Electroencephalography research includes themes of Electrophysiology, Audiology, Speech recognition, Cognition and Algorithm. As part of one scientific family, Robert Oostenveld deals mainly with the area of Artificial intelligence, narrowing it down to issues related to the Neuroimaging, and often Metadata and Data mining. In his study, Alpha is inextricably linked to Working memory, which falls within the broad field of Cognitive psychology.
Robert Oostenveld focuses on Magnetoencephalography, Artificial intelligence, Electroencephalography, Neuroimaging and Neuroscience. The concepts of his Magnetoencephalography study are interwoven with issues in Co registration, Temporal cortex, Somatosensory system, Source reconstruction and Resting state fMRI. His work deals with themes such as Subject, Multimodal neuroimaging and Natural language processing, which intersect with Artificial intelligence.
The study incorporates disciplines such as Imaging phantom, Interference, Robustness and Pattern recognition in addition to Electroencephalography. His Neuroimaging study combines topics from a wide range of disciplines, such as Machine learning and Data mining. His work carried out in the field of Neuroscience brings together such families of science as Beta and Parkinson's disease.
The scientist’s investigation covers issues in Electroencephalography, Artificial intelligence, Neuroimaging, Data structure and Magnetoencephalography. His biological study spans a wide range of topics, including Body region, Scanner, Nuclear magnetic resonance and Medical imaging. His work on Robustness as part of general Artificial intelligence research is often related to Task, thus linking different fields of science.
His Neuroimaging research integrates issues from Resting state fMRI, Movement disorders, Data mining and Human Connectome Project. Robert Oostenveld has included themes like Metadata, Electrophysiology, Temporal resolution and Human brain in his Data mining study. In his works, Robert Oostenveld conducts interdisciplinary research on Magnetoencephalography and Head model.
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FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data
Robert Oostenveld;Pascal Fries;Eric Maris;Jan-Mathijs Schoffelen.
Computational Intelligence and Neuroscience (2011)
Nonparametric statistical testing of EEG- and MEG-data
Eric Maris;Robert Oostenveld.
Journal of Neuroscience Methods (2007)
The five percent electrode system for high-resolution EEG and ERP measurements
Robert Oostenveld;Peter Praamstra.
Clinical Neurophysiology (2001)
The Human Connectome Project: A data acquisition perspective
D. C. Van Essen;Kamil Ugurbil;Edward J Auerbach.
Modulation of neuronal interactions through neuronal synchronization
Thilo Womelsdorf;Jan-Mathijs Schoffelen;Robert Oostenveld;Wolf Singer;Wolf Singer.
Increased auditory cortical representation in musicians
Christo Pantev;Robert Oostenveld;Almut Engelien;Bernhard Ross.
An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias.
Martin A. Vinck;Robert Oostenveld;Marijn van Wingerden;Franscesco Battaglia.
Visual Areas Exert Feedforward and Feedback Influences through Distinct Frequency Channels
André Moraes Bastos;André Moraes Bastos;André Moraes Bastos;Julien Vezoli;Conrado Arturo Bosman;Conrado Arturo Bosman;Jan-Mathijs Schoffelen.
Prestimulus Oscillatory Activity in the Alpha Band Predicts Visual Discrimination Ability
Hanneke van Dijk;Jan-Mathijs Schoffelen;Robert Oostenveld;Ole Jensen.
The Journal of Neuroscience (2008)
Theta and gamma oscillations predict encoding and retrieval of declarative memory.
Daria Osipova;Atsuko Takashima;Robert Oostenveld;Guillén Fernández.
The Journal of Neuroscience (2006)
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