What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Functional magnetic resonance imaging
- Artificial intelligence
The scientist’s investigation covers issues in Neuroscience, Functional magnetic resonance imaging, Neural correlates of consciousness, Brain mapping and Cognition.
His Neuroscience research includes elements of Echo time and Echo.
His Functional magnetic resonance imaging study incorporates themes from Working memory, Entorhinal cortex, Scanner and Pattern recognition.
His research in Neural correlates of consciousness intersects with topics in Memory impairment, Hippocampal formation, Spatial disorientation, Spatial memory and Hippocampus.
Tony Stöcker interconnects Functional imaging, Inferior frontal gyrus and Biomedical engineering in the investigation of issues within Brain mapping.
His Cognition research is multidisciplinary, relying on both Cognitive psychology and Insula.
His most cited work include:
- Gender differences in the cognitive control of emotion: An fMRI study (220 citations)
- Reduced grid-cell–like representations in adults at genetic risk for Alzheimer’s disease (157 citations)
- Neural correlates of working memory dysfunction in first-episode schizophrenia patients: An fMRI multi-center study (129 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Neuroscience, Nuclear magnetic resonance, Functional magnetic resonance imaging, Artificial intelligence and Algorithm.
His work on Neural correlates of consciousness, Working memory, Amygdala and Precuneus as part of general Neuroscience research is often related to Tourette syndrome, thus linking different fields of science.
His Neural correlates of consciousness study integrates concerns from other disciplines, such as Cognitive psychology, Functional imaging and Brain mapping.
His study looks at the relationship between Functional magnetic resonance imaging and topics such as Verbal fluency test, which overlap with Functional neuroimaging.
The concepts of his Artificial intelligence study are interwoven with issues in Voxel-based morphometry, Scan time, Fluid-attenuated inversion recovery, Computer vision and Pattern recognition.
His Algorithm research is multidisciplinary, incorporating perspectives in Imaging phantom, Sampling, Diffusion MRI and Undersampling.
He most often published in these fields:
- Neuroscience (31.16%)
- Nuclear magnetic resonance (21.74%)
- Functional magnetic resonance imaging (15.22%)
What were the highlights of his more recent work (between 2019-2021)?
- Undersampling (14.49%)
- Nuclear magnetic resonance (21.74%)
- Algorithm (25.36%)
In recent papers he was focusing on the following fields of study:
Tony Stöcker spends much of his time researching Undersampling, Nuclear magnetic resonance, Algorithm, Arterial spin labeling and Neuroscience.
His Undersampling research also works with subjects such as
- Correlation coefficient which connect with Mean squared displacement,
- Compressed sensing which connect with Diffusion MRI, Sampling and Ground truth,
- k-space which is related to area like Echo-planar imaging and Aliasing.
His Nuclear magnetic resonance research integrates issues from Hippocampal formation and Full width at half maximum.
His work deals with themes such as Segmentation and Parallel imaging, which intersect with Algorithm.
The study of Neuroscience is intertwined with the study of Recall in a number of ways.
Tony Stöcker undertakes multidisciplinary investigations into Functional magnetic resonance imaging and Fusiform face area in his work.
Between 2019 and 2021, his most popular works were:
- Layer-dependent functional connectivity methods. (22 citations)
- Common and dissociable effects of oxytocin and lorazepam on the neurocircuitry of fear (10 citations)
- Common and dissociable effects of oxytocin and lorazepam on the neurocircuitry of fear (10 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Functional magnetic resonance imaging
His scientific interests lie mostly in Neuroscience, Addiction, Anxiolytic, Lorazepam and Basolateral amygdala.
His research in Cognition and Functional connectivity are components of Neuroscience.
His studies in Addiction integrate themes in fields like Oxytocin, Precuneus and Amygdala.
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