Olivier David spends much of his time researching Neuroscience, Electroencephalography, Artificial intelligence, Magnetoencephalography and Epilepsy. His Neuroscience research is multidisciplinary, relying on both Coupling and Deep brain stimulation. His work carried out in the field of Electroencephalography brings together such families of science as Neuroimaging and Brain mapping.
His Artificial intelligence study integrates concerns from other disciplines, such as Algorithm and Dynamic causal modelling. His research integrates issues of Cerebral cortex, Machine learning, Visual attention and Nonlinear system in his study of Magnetoencephalography. The various areas that Olivier David examines in his Epilepsy study include Anesthesia, Magnetic resonance imaging, Functional magnetic resonance imaging, Stimulation and Animal model.
Olivier David mainly focuses on Neuroscience, Electroencephalography, Epilepsy, Deep brain stimulation and Stimulation. His studies link Subthalamic nucleus with Neuroscience. His work in the fields of Electroencephalography, such as Magnetoencephalography, intersects with other areas such as Context.
His Epilepsy research is multidisciplinary, incorporating elements of Hippocampal formation and Somatosensory system. His Stimulation research integrates issues from Biomedical engineering and Cognition, Stroop effect. His Artificial intelligence research also works with subjects such as
The scientist’s investigation covers issues in Neuroscience, Epilepsy, Stimulation, Stereoelectroencephalography and Deep brain stimulation. His Epilepsy research includes elements of Electrophysiology, Somatosensory system and Neuroimaging. His Stimulation study combines topics in areas such as Current pulse, Cognition, Audiology and Electroencephalography.
His Cognition study combines topics from a wide range of disciplines, such as Probabilistic logic, Relation and Brain mapping. Electroencephalography and Experimental control are two areas of study in which he engages in interdisciplinary research. His research investigates the connection with Deep brain stimulation and areas like Reticular formation which intersect with concerns in Cholinergic, MPTP, Cholinergic neuron, Dopamine and Brainstem.
Olivier David spends much of his time researching Deep brain stimulation, Audiology, Stimulation, Electrophysiology and Neuroscience. His work on Pedunculopontine nucleus as part of general Deep brain stimulation study is frequently linked to Midbrain, therefore connecting diverse disciplines of science. The Audiology study combines topics in areas such as Motor cortex, Transcranial magnetic stimulation, Mood disorders and Electroencephalography.
Olivier David has researched Electroencephalography in several fields, including Primary motor cortex and Reproducibility. His Stimulation research includes themes of Valence, Arousal, Subthalamic nucleus and Cognition, Cognitive bias. Olivier David combines Neuroscience and Genetic model in his studies.
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A neural mass model for MEG/EEG: coupling and neuronal dynamics.
Olivier David;Karl J. Friston.
Dynamic causal modeling of evoked responses in EEG and MEG
Olivier David;Stefan J. Kiebel;Lee M. Harrison;Jérémie Mattout.
Identifying neural drivers with functional MRI: an electrophysiological validation.
Olivier David;Isabelle Guillemain;Sandrine Saillet;Sebastien Reyt.
PLOS Biology (2008)
Evaluation of different measures of functional connectivity using a neural mass model.
Olivier David;Diego Cosmelli;Karl J. Friston.
Modelling event-related responses in the brain.
Olivier David;Lee M. Harrison;Karl J. Friston.
Mechanisms of evoked and induced responses in MEG/EEG
Olivier David;James M. Kilner;Karl J. Friston.
Dynamic causal modelling: a critical review of the biophysical and statistical foundations.
Jean Daunizeau;Olivier David;Klaas E. Stephan;Klaas E. Stephan.
Dynamic causal models of neural system dynamics: current state and future extensions
Klaas E Stephan;Lee M Harrison;Lee M Harrison;Stefan J Kiebel;Stefan J Kiebel;Olivier David.
Journal of Biosciences (2007)
Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization
Stefan J. Kiebel;Olivier David;Karl J. Friston.
Rapid interactions between the ventral visual stream and emotion-related structures rely on a two-pathway architecture.
David Rudrauf;Olivier David;Jean-Philippe Lachaux;Christopher K. Kovach.
The Journal of Neuroscience (2008)
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