Probabilistic Maps of Visual Topography in Human Cortex.
By Liang Wang, Ryan E. B. Mruczek, Michael Arcaro, Sabine Kastner. Cerebral Cortex, 2015
691 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/b8ee8a64b109b32c2876066d01984b9fffba44aa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Stephen M. Smith
- Matthew F. Glasser
- Timothy Edward John Behrens
- Jesper L. R. Andersson
- Kamil Ugurbil
- Timothy S. Coalson
- Essa Yacoub
- Mark Jenkinson
Citations in the corpus
- The Human Connectome Project’s Neuroimaging Approach (2016, methodology): “They can also map the internal topographic organization within brain areas, such as the ordered representation of visual space within visual areas using task-driven 16,17,30 or resting-state-based 9 methods (visuotopic organization).”
- A multi-modal parcellation of human cerebral cortex (2016, neutral): “These semi-automated approaches contrast with classical observer-dependent parcellation approaches1,3 that relied on visual inspection to locate often subtle transitions in cortical architecture and with some modern observer-dependent retinotopic parcellation methods17,18.”
- Discovering event structure in continuous narrative perception and memory (2016, neutral): “, 2016), and hV4 based on a group maximum-probability atlas (Wang et al., 2015).”