Klaus Lehnertz spends much of his time researching Neuroscience, Epilepsy, Electroencephalography, Temporal lobe and Ictal. His Epilepsy research includes elements of Stochastic process and Complex network. His study in Stochastic process is interdisciplinary in nature, drawing from both Electrophysiology and Surrogate data.
He combines subjects such as Phase synchronization, Statistics, Artificial intelligence, Nonlinear system and Pattern recognition with his study of Electroencephalography. His Temporal lobe study combines topics in areas such as Hippocampus, Long-term memory and Semantic memory, Explicit memory. His Ictal research integrates issues from Epileptic seizure, Seizure onset and Epilepsy surgery.
His scientific interests lie mostly in Neuroscience, Electroencephalography, Epilepsy, Artificial intelligence and Statistical physics. His study looks at the relationship between Neuroscience and topics such as Centrality, which overlap with Node, Complex network and Identification. The Electroencephalography study combines topics in areas such as Nonlinear time series analysis, Nonlinear system, Measure and Audiology.
His work on Ictal, Epileptic seizure and Intracranial eeg as part of general Epilepsy study is frequently linked to Synchronization and In patient, bridging the gap between disciplines. Klaus Lehnertz has researched Artificial intelligence in several fields, including Machine learning, Synchronization and Pattern recognition. Klaus Lehnertz interconnects Parameter space, Stochastic process and Dynamical systems theory, Control theory in the investigation of issues within Statistical physics.
Klaus Lehnertz mostly deals with Neuroscience, Epilepsy, Statistical physics, Dynamical systems theory and Centrality. His work on Cognition as part of general Neuroscience research is frequently linked to Mechanism, Network reconfiguration and Scale, bridging the gap between disciplines. His work carried out in the field of Epilepsy brings together such families of science as Warning system and Electroencephalography.
His Electroencephalography study focuses on Intracranial eeg in particular. As a part of the same scientific family, Klaus Lehnertz mostly works in the field of Statistical physics, focusing on Data-driven and, on occasion, Conditional moments and Series. His work in Centrality addresses issues such as Complex network, which are connected to fields such as Theoretical computer science and Network topology.
His primary areas of study are Neuroscience, Epilepsy, Electroencephalography, Centrality and Epileptic seizure. His work on Recurrent seizures as part of general Epilepsy study is frequently connected to Prospective trial, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Intracranial eeg study, which is part of a larger body of work in Electroencephalography, is frequently linked to Clinical neurology, bridging the gap between disciplines.
In Centrality, Klaus Lehnertz works on issues like Network science, which are connected to Identification. His study focuses on the intersection of Epileptic seizure and fields such as Topology with connections in the field of Complex network. His Intensive care medicine research is multidisciplinary, relying on both Neurological examination, Ictal, Psychopharmacology, Neurology and Drug.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state.
Ralph G. Andrzejak;Klaus Lehnertz;Florian Mormann;Christoph Rieke.
Physical Review E (2001)
Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients
Florian Mormann;Klaus Lehnertz;Peter David;Christian E. Elger.
Physica D: Nonlinear Phenomena (2000)
Seizure prediction: the long and winding road.
Florian Mormann;Ralph G. Andrzejak;Christian E. Elger;Klaus Lehnertz.
Human memory formation is accompanied by rhinal-hippocampal coupling and decoupling.
Jürgen Fell;Peter Klaver;Klaus Lehnertz;Thomas Grunwald.
Nature Neuroscience (2001)
Can Epileptic Seizures be Predicted? Evidence from Nonlinear Time Series Analysis of Brain Electrical Activity
Klaus Lehnertz;Christian E. Elger.
Physical Review Letters (1998)
A robust method for detecting interdependences: application to intracranially recorded EEG
J. Arnhold;P. Grassberger;K. Lehnertz;C. E. Elger.
Physica D: Nonlinear Phenomena (1999)
On the predictability of epileptic seizures.
Florian Mormann;Thomas Kreuz;Christoph Rieke;Ralph G. Andrzejak.
Clinical Neurophysiology (2005)
Epileptic seizures are preceded by a decrease in synchronization.
Florian Mormann;Thomas Kreuz;Thomas Kreuz;Ralph G Andrzejak;Ralph G Andrzejak;Peter David.
Epilepsy Research (2003)
Symbolic transfer entropy.
Matthäus Staniek;Klaus Lehnertz.
Physical Review Letters (2008)
Tonotopic organization of the human auditory cortex revealed by transient auditory evoked magnetic fields.
C. Pantev;M. Hoke;K. Lehnertz;B. Lütkenhöner.
Electroencephalography and Clinical Neurophysiology (1988)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: