What is he best known for?
The fields of study he is best known for:
- Statistics
- Neuroscience
- Quantum mechanics
Mark A. Kramer spends much of his time researching Neuroscience, Electroencephalography, Brain mapping, Epilepsy and Ictal.
His research on Neuroscience frequently links to adjacent areas such as Rhythm.
His biological study deals with issues like Transformation, which deal with fields such as Amplitude.
As part of his studies on Electroencephalography, he often connects relevant subjects like Local field potential.
As a member of one scientific family, Mark A. Kramer mostly works in the field of Brain mapping, focusing on Nerve net and, on occasion, Cerebral cortex, Dynamic network analysis, Epileptic seizure, Network dynamics and Cortex.
His work on Electrocorticography and Convulsion as part of general Epilepsy research is frequently linked to Network topology and Deep brain stimulation, bridging the gap between disciplines.
His most cited work include:
- Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task (524 citations)
- Epilepsy as a Disorder of Cortical Network Organization (275 citations)
- Search for co outflows toward a sample of 69 high-mass protostellar candidates. II. Outflow properties (268 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Neuroscience, Electroencephalography, Epilepsy, Artificial intelligence and Ictal.
His work in Neuroscience is not limited to one particular discipline; it also encompasses Rhythm.
His Electroencephalography research is multidisciplinary, incorporating elements of Electrophysiology, Audiology, Cerebral cortex, Excitatory postsynaptic potential and Local field potential.
His Epilepsy research incorporates elements of Neocortex and Cortex.
His Artificial intelligence study also includes
- Machine learning which is related to area like Inference,
- Point process and related Coherence and Generalized linear model.
Mark A. Kramer focuses mostly in the field of Ictal, narrowing it down to topics relating to Mechanism and, in certain cases, Seizure types, Cytoarchitecture, Brain region, Seizure onset and Network activity.
He most often published in these fields:
- Neuroscience (40.71%)
- Electroencephalography (27.43%)
- Epilepsy (19.47%)
What were the highlights of his more recent work (between 2017-2021)?
- Epilepsy syndromes (6.19%)
- Neuroscience (40.71%)
- Algorithm (9.73%)
In recent papers he was focusing on the following fields of study:
Mark A. Kramer mainly focuses on Epilepsy syndromes, Neuroscience, Algorithm, Epilepsy and Statistical model.
The concepts of his Epilepsy syndromes study are interwoven with issues in Rolandic epilepsy, Cortex and Audiology.
Mark A. Kramer undertakes interdisciplinary study in the fields of Neuroscience and Medium spiny neuron through his works.
His studies deal with areas such as Orthonormal basis and Phase as well as Algorithm.
His Epilepsy study combines topics from a wide range of disciplines, such as Effects of sleep deprivation on cognitive performance, Neuropsychology and Electroencephalography.
His work in Electroencephalography tackles topics such as Confidence interval which are related to areas like Anesthesia and Proportional hazards model.
Between 2017 and 2021, his most popular works were:
- Unique contributions of parvalbumin and cholinergic interneurons in organizing striatal networks during movement (37 citations)
- Scalp recorded spike ripples predict seizure risk in childhood epilepsy better than spikes. (22 citations)
- Computational Neuroscience: Mathematical and Statistical Perspectives (22 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Quantum mechanics
- Neuroscience
Mark A. Kramer mostly deals with Epilepsy, Electroencephalography, Epilepsy syndromes, Confidence interval and Data science.
His study in Epilepsy is interdisciplinary in nature, drawing from both Effects of sleep deprivation on cognitive performance and Neuropsychology.
The various areas that he examines in his Electroencephalography study include Functional connectivity, Graph theory, Network science, Session and Network analysis.
His Epilepsy syndromes research is multidisciplinary, relying on both Pediatrics and Audiology.
Mark A. Kramer has researched Confidence interval in several fields, including Anesthesia, Proportional hazards model and Burst suppression.
His Data science study integrates concerns from other disciplines, such as Artificial neural network, Statistical model and Computational neuroscience.
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