2002 - Fellow of the American Association for the Advancement of Science (AAAS)
2001 - Grawemeyer Award in Psychology, University of Louisville
His main research concerns Neuroscience, Brain mapping, Cognitive psychology, Resting state fMRI and Artificial intelligence. He focuses mostly in the field of Neuroscience, narrowing it down to topics relating to Complex system and, in certain cases, Distributed computing. His Brain mapping study combines topics in areas such as Nerve net, Functional brain, Human brain and Default mode network, Task-positive network.
His Cognitive psychology research includes themes of Frontal lobe and Semantic memory, Cognition. His Resting state fMRI research integrates issues from Functional magnetic resonance imaging and Functional connectivity, Human Connectome Project. He combines subjects such as Information processing and Pattern recognition with his study of Artificial intelligence.
The scientist’s investigation covers issues in Neuroscience, Functional magnetic resonance imaging, Cognitive psychology, Brain mapping and Cognition. His study in Neuroscience focuses on Resting state fMRI, Functional connectivity, Human brain, Cerebral cortex and Stimulus. His study in Functional magnetic resonance imaging is interdisciplinary in nature, drawing from both Temporal cortex, Artificial intelligence and Pattern recognition.
His study looks at the relationship between Cognitive psychology and fields such as Visual perception, as well as how they intersect with chemical problems. The Brain mapping study combines topics in areas such as Nerve net, Frontal lobe, Functional neuroimaging, Neuroimaging and Default mode network. The concepts of his Cognition study are interwoven with issues in Brain activity and meditation, Positron emission tomography, Functional imaging and Audiology.
His primary areas of study are Neuroscience, Functional connectivity, Artificial intelligence, Functional magnetic resonance imaging and Functional networks. Steven E. Petersen connects Neuroscience with Basal ganglia in his study. His biological study spans a wide range of topics, including Joint attention and Topology.
His Artificial intelligence study incorporates themes from Reliability, Machine learning and Pattern recognition. His Functional magnetic resonance imaging research is multidisciplinary, relying on both Autism spectrum disorder, Functional brain, Audiology and Brain organization. His study looks at the intersection of Human brain and topics like Cognition with Neuroimaging and Similarity.
Steven E. Petersen spends much of his time researching Functional connectivity, Neuroscience, Resting state fMRI, Functional magnetic resonance imaging and Functional networks. His work investigates the relationship between Functional connectivity and topics such as Brain organization that intersect with problems in Evolutionary biology. Steven E. Petersen mostly deals with Human brain in his studies of Neuroscience.
As a part of the same scientific family, Steven E. Petersen mostly works in the field of Human brain, focusing on Cognition and, on occasion, Brain activity and meditation, Personalized medicine and Computational biology. His work carried out in the field of Resting state fMRI brings together such families of science as Cerebellum, Cerebral cortex and Thalamus. His studies deal with areas such as Filter and Functional brain as well as Functional magnetic resonance imaging.
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.
The Attention System of the Human Brain
Michael I. Posner;Steven E. Petersen.
Annual Review of Neuroscience (1990)
Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion
Jonathan D. Power;Kelly Anne Barnes;Abraham Z. Snyder;Bradley L. Schlaggar.
Positron emission tomographic studies of the cortical anatomy of single-word processing
Steven E. Petersen;P. T. Fox;Michael I. Posner;M. Mintun.
Functional network organization of the human brain
Jonathan D. Power;Alexander L. Cohen;Steven M. Nelson;Gagan S. Wig.
The attention system of the human brain: 20 years after.
Steven E. Petersen;Michael I. Posner.
Annual Review of Neuroscience (2012)
Toward discovery science of human brain function
Bharat B. Biswal;Maarten Mennes;Xi Nian Zuo;Suril Gohel.
Proceedings of the National Academy of Sciences of the United States of America (2010)
Distinct brain networks for adaptive and stable task control in humans
Nico U. F. Dosenbach;Damien A. Fair;Francis M. Miezin;Alexander L. Cohen.
Proceedings of the National Academy of Sciences of the United States of America (2007)
Common blood flow changes across visual tasks: I. increases in subcortical structures and cerebellum but not in nonvisual cortex
Gordon L. Shulman;Maurizio Corbetta;Randy L. Buckner;Julie A. Fiez.
Journal of Cognitive Neuroscience (1997)
Selective and divided attention during visual discriminations of shape, color, and speed: functional anatomy by positron emission tomography
M Corbetta;FM Miezin;S Dobmeyer;GL Shulman.
The Journal of Neuroscience (1991)
A PET study of visuospatial attention
Maurizio Corbetta;Francis M. Miezin;Gordon L. Shulman;Steven E. Petersen.
The Journal of Neuroscience (1993)
Profile was last updated on December 6th, 2021.
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