What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Internal medicine
- Cognition
Eric Halgren mostly deals with Neuroscience, Temporal lobe, Electroencephalography, Magnetoencephalography and Functional magnetic resonance imaging.
His Electroencephalography study incorporates themes from Frontal lobe, Premovement neuronal activity, Brain mapping and Epilepsy.
In Magnetoencephalography, Eric Halgren works on issues like Repetition priming, which are connected to Modality and Primary sensory areas.
He has included themes like Temporal cortex, Semantic memory and Cognitive neuroscience of visual object recognition in his Functional magnetic resonance imaging study.
His Visual cortex research is multidisciplinary, incorporating elements of Orbitofrontal cortex and Human brain.
His Statistical parametric mapping research integrates issues from Artificial intelligence and Pattern recognition.
His most cited work include:
- Automatically Parcellating the Human Cerebral Cortex (2907 citations)
- Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature (1395 citations)
- Dynamic Statistical Parametric Mapping: Combining fMRI and MEG for High-Resolution Imaging of Cortical Activity (1289 citations)
What are the main themes of his work throughout his whole career to date?
Eric Halgren mainly focuses on Neuroscience, Electroencephalography, Temporal lobe, Magnetoencephalography and Hippocampal formation.
In his study, Computer vision and Cortical surface is inextricably linked to Artificial intelligence, which falls within the broad field of Electroencephalography.
His work in Temporal lobe addresses subjects such as Stimulus, which are connected to disciplines such as Sensory system.
His research integrates issues of Cognitive psychology, Functional magnetic resonance imaging, Pattern recognition, Visual cortex and Repetition priming in his study of Magnetoencephalography.
His work in Visual cortex is not limited to one particular discipline; it also encompasses Human brain.
His Hippocampal formation research is multidisciplinary, incorporating perspectives in Neocortex, Sleep in non-human animals and Amygdala.
He most often published in these fields:
- Neuroscience (79.25%)
- Electroencephalography (28.57%)
- Temporal lobe (21.83%)
What were the highlights of his more recent work (between 2016-2021)?
- Neuroscience (79.25%)
- Non-rapid eye movement sleep (5.93%)
- Memory consolidation (5.93%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Neuroscience, Non-rapid eye movement sleep, Memory consolidation, Cortex and Hippocampal formation.
All of his Neuroscience and Sleep spindle, Sleep in non-human animals, Electroencephalography, Thalamus and Electrophysiology investigations are sub-components of the entire Neuroscience study.
His Electroencephalography research includes elements of Cerebral cortex, Acoustics and Cortical surface.
His Hippocampal formation research incorporates themes from Neocortex, Slow-wave sleep, Hippocampus and Recall.
His Artificial intelligence study integrates concerns from other disciplines, such as Neuroimaging and Diffusion Tractography.
He combines subjects such as Cognitive psychology, Early adolescence, Neuroplasticity and Spoken language with his study of Magnetoencephalography.
Between 2016 and 2021, his most popular works were:
- Coordination of cortical and thalamic activity during non-REM sleep in humans (73 citations)
- Perceptual confidence neglects decision-incongruent evidence in the brain (66 citations)
- The generation and propagation of the human alpha rhythm. (46 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Internal medicine
- Cognition
His main research concerns Neuroscience, Cortex, Non-rapid eye movement sleep, Memory consolidation and Sleep spindle.
His research ties Rhythm and Neuroscience together.
His biological study spans a wide range of topics, including Sensory input and Sensory system.
The study incorporates disciplines such as Electrocorticography and Human brain in addition to Sleep spindle.
His Hippocampal formation study combines topics from a wide range of disciplines, such as Hippocampus and Excitatory postsynaptic potential.
His Neural Prosthesis research includes themes of Cognition, Artificial intelligence and Pattern recognition.
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.
