Probabilistic Maps of Visual Topography in Human Cortex
Institute of Psychology, Chinese Academy of Sciences · Princeton University · +2 more institutions
Abstract
The human visual system contains an array of topographically organized regions. Identifying these regions in individual subjects is a powerful approach to group-level statistical analysis, but this is not always feasible. We addressed this limitation by generating probabilistic maps of visual topographic areas in 2 standardized spaces suitable for use with adult human brains. Using standard fMRI paradigms, we identified 25 topographic maps in a large population of individual subjects (N = 53) and transformed them into either a surface- or volume-based standardized space. Here, we provide a quantitative characterization of the inter-subject variability within and across visual regions, including the likelihood…
Citation impact
- FWCI
- 16.10
- Percentile
- 100%
- References
- 70
Authors
4- LWLiang WangCorresponding
Institute of Psychology, Chinese Academy of Sciences, Princeton University, Neuroscience Institute
- RERyan E. B. Mruczek
Neuroscience Institute, Princeton University, Swarthmore College
- MJMichael J. Arcaro
Princeton University, Neuroscience Institute
- SKSabine KästnerCorresponding
Princeton University, Neuroscience Institute
Topics & keywords
- Probabilistic logic
- Visual cortex
- Computer science
- Artificial intelligence
- Visual field
- Cartography
- Population
- Retinotopy