David A. Leopold mainly investigates Neuroscience, Visual cortex, Resting state fMRI, Perception and Visual perception. His study in Neuroscience focuses on Macaque, Stimulus, Psychophysics, Connectome and Cerebral cortex. David A. Leopold interconnects Binocular rivalry and Local field potential in the investigation of issues within Visual cortex.
His research integrates issues of Audiology, Brain activity and meditation and Brain mapping in his study of Resting state fMRI. His research in Brain activity and meditation tackles topics such as Nerve net which are related to areas like Cognitive science. His Visual perception research focuses on Functional magnetic resonance imaging and how it relates to Functional imaging.
His primary areas of study are Neuroscience, Macaque, Visual cortex, Perception and Visual perception. His work in Stimulus, Electrophysiology, Sensory system, Local field potential and Brain mapping are all subfields of Neuroscience research. His Stimulus research is multidisciplinary, relying on both Surround suppression and Communication.
His Macaque study incorporates themes from Face perception, Superior colliculus, Primate, Superior temporal sulcus and Artificial intelligence. His Visual cortex study integrates concerns from other disciplines, such as Occipital lobe, Resting state fMRI, Photic Stimulation and Premovement neuronal activity. In Perception, David A. Leopold works on issues like Cognitive psychology, which are connected to Multistable perception and Social cognition.
The scientist’s investigation covers issues in Neuroscience, Macaque, Neuroimaging, Visual cortex and Sensory system. His study in Temporal cortex, Stimulus, Cerebral cortex, Posterior parietal cortex and Brain activity and meditation falls under the purview of Neuroscience. The various areas that he examines in his Macaque study include Neurophysiology, Superior colliculus, Visual processing, Primate and Superior temporal sulcus.
The study incorporates disciplines such as Connectome, Human brain and Human Connectome Project in addition to Neuroimaging. His work on Calcarine sulcus as part of his general Visual cortex study is frequently connected to Limbic system, thereby bridging the divide between different branches of science. His Sensory system study combines topics in areas such as Electrophysiology and Thalamus.
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.
Dynamic functional connectivity: Promise, issues, and interpretations
R. Matthew Hutchison;Thilo Womelsdorf;Elena A. Allen;Elena A. Allen;Peter A. Bandettini.
NeuroImage (2013)
Multistable phenomena: changing views in perception
David A. Leopold;Nikos K. Logothetis.
Trends in Cognitive Sciences (1999)
Activity-Changes in Early Visual Cortex Reflect Monkeys' Percepts During Binocular Rivalry.
David A. Leopold;Nikos K. Logothetis.
Nature (1996)
Prototype-referenced shape encoding revealed by high-level aftereffects
David A. Leopold;Alice J. O'Toole;Thomas Vetter;Volker Blanz.
Nature Neuroscience (2001)
Neural basis of global resting-state fMRI activity
Marieke L. Schölvinck;Alexander Maier;Frank Q. Ye;Jeff H. Duyn.
Proceedings of the National Academy of Sciences of the United States of America (2010)
What is rivalling during binocular rivalry
Nikos K. Logothetis;David A. Leopold;David L. Sheinberg.
Nature (1996)
Very Slow Activity Fluctuations in Monkey Visual Cortex: Implications for Functional Brain Imaging
David A. Leopold;Yusuke Murayama;Nikos K. Logothetis.
Cerebral Cortex (2003)
Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited
Cibu Thomas;Cibu Thomas;Frank Q. Ye;M. Okan Irfanoglu;Pooja Modi.
Proceedings of the National Academy of Sciences of the United States of America (2014)
Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: Implications for functional connectivity at rest
Amir Shmuel;David A. Leopold.
Human Brain Mapping (2008)
Stable perception of visually ambiguous patterns
David A. Leopold;Melanie Wilke;Alexander Maier;Nikos K. Logothetis.
Nature Neuroscience (2002)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Chinese Academy of Sciences
University of Pittsburgh
National Institutes of Health
National Institutes of Health
National Institutes of Health
National Institutes of Health
Rockefeller University
National Institutes of Health
University of Tübingen
Columbia University
Spanish National Research Council
North Carolina State University
Stanford University
Leiden University
University of Southampton
Tianjin University
Jawaharlal Nehru University
Max Planck Society
University of Oslo
Institute of Cancer Research
École Normale Supérieure
University of Western Ontario
Hiroshima University
National University of Singapore
University of Michigan–Ann Arbor
University of Birmingham