2023 - Research.com Neuroscience in United Kingdom Leader Award
Member of the Association of American Physicians
Timothy E.J. Behrens mostly deals with Neuroscience, Diffusion MRI, Brain mapping, Cognitive psychology and Artificial intelligence. As a member of one scientific family, Timothy E.J. Behrens mostly works in the field of Neuroscience, focusing on Anatomy and, on occasion, Extreme capsule. His Diffusion MRI research includes elements of White matter, Functional imaging and Human brain.
Timothy E.J. Behrens focuses mostly in the field of Brain mapping, narrowing it down to matters related to Functional magnetic resonance imaging and, in some cases, Diffusion-Weighted Magnetic Resonance Imaging. His studies in Cognitive psychology integrate themes in fields like Developmental psychology, Value of information and Ventromedial prefrontal cortex. Timothy E.J. Behrens has included themes like Machine learning, Neuroimaging and Pattern recognition in his Artificial intelligence study.
Neuroscience, Artificial intelligence, Diffusion MRI, Prefrontal cortex and Cognitive psychology are his primary areas of study. His Neuroscience study focuses mostly on Brain mapping, Anterior cingulate cortex, Orbitofrontal cortex, Human brain and Neuroimaging. The study incorporates disciplines such as Machine learning, Computer vision and Pattern recognition in addition to Artificial intelligence.
His study in the field of Tractography is also linked to topics like Deep brain stimulation. His work on Diffusion Tractography is typically connected to Diffusion as part of general Tractography study, connecting several disciplines of science. The Cued speech research Timothy E.J. Behrens does as part of his general Cognitive psychology study is frequently linked to other disciplines of science, such as Task, Magnetoencephalography and Mechanism, therefore creating a link between diverse domains of science.
Timothy E.J. Behrens mostly deals with Neuroscience, Task, Cognitive science, Reinforcement learning and Inference. His research investigates the connection between Neuroscience and topics such as Alpha that intersect with issues in Sensory processing. The various areas that he examines in his Cognitive science study include Spatial cognition, Sensory system, Hippocampal formation, Entorhinal cortex and Structure.
Timothy E.J. Behrens interconnects Transfer of learning, Cognitive map, Representation and Biological system in the investigation of issues within Inference. While the research belongs to areas of Prefrontal cortex, Timothy E.J. Behrens spends his time largely on the problem of Brainstem, intersecting his research to questions surrounding Diffusion MRI. Timothy E.J. Behrens combines subjects such as Sentence and Episodic memory with his study of Cognitive psychology.
Neuroscience, Cognitive science, Inference, Hippocampus and Hippocampal formation are his primary areas of study. His work in Neuroscience is not limited to one particular discipline; it also encompasses Diffusion MRI. Timothy E.J. Behrens has researched Cognitive science in several fields, including Structure, Representation and Spatial cognition.
His work carried out in the field of Inference brings together such families of science as Entropy, Biological system and Multivariate statistics. His Hippocampus research is multidisciplinary, relying on both Interference theory, Recall, Neocortex, Inhibitory postsynaptic potential and Engram. His Hippocampal formation research is multidisciplinary, incorporating elements of Artificial neural network and Sensory system.
The WU-Minn Human Connectome Project: An Overview
David C. Van Essen;Stephen M. Smith;M Deanna;Timothy Edward John Behrens.
Characterization and propagation of uncertainty in diffusion-weighted MR imaging.
Timothy E.J. Behrens;M. W. Woolrich;Mi Jenkinson;H. Johansen-Berg.
Magnetic Resonance in Medicine (2003)
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
T E J Behrens;H Johansen-Berg;M W Woolrich;M W Woolrich;S M Smith.
Nature Neuroscience (2003)
Bayesian analysis of neuroimaging data in FSL.
Mark William Woolrich;Saâd Jbabdi;Brian Patenaude;Michael A. Chappell.
Learning the value of information in an uncertain world
Timothy E J Behrens;Mark W Woolrich;Mark E Walton;Matthew F S Rushworth;Matthew F S Rushworth.
Nature Neuroscience (2007)
The Human Connectome Project: A data acquisition perspective
D. C. Van Essen;Kamil Ugurbil;Edward J Auerbach.
Multilevel linear modelling for FMRI group analysis using Bayesian inference.
Mark W. Woolrich;Mark W. Woolrich;Timothy Edward John Behrens;Timothy Edward John Behrens;Christian F. Beckmann;Christian F. Beckmann;Mark Jenkinson.
Training induces changes in white-matter architecture
Jan Scholz;Miriam C Klein;Timothy E J Behrens;Heidi Johansen-Berg.
Nature Neuroscience (2009)
Triangulating a Cognitive Control Network Using Diffusion-Weighted Magnetic Resonance Imaging (MRI) and Functional MRI
Adam R. Aron;Tim E. Behrens;Steve Smith;Michael J. Frank.
The Journal of Neuroscience (2007)
Frontal cortex and reward-guided learning and decision-making.
Matthew F.S. Rushworth;Matthew F.S. Rushworth;MaryAnn P. Noonan;MaryAnn P. Noonan;Erie D. Boorman;Erie D. Boorman;Erie D. Boorman;Mark E. Walton;Mark E. Walton.
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