Full metadata
Title
Topology Processing of Retinotopic Maps
Description
Retinotopic map, the map between visual inputs on the retina and neuronal activation in brain visual areas, is one of the central topics in visual neuroscience. For human observers, the map is typically obtained by analyzing functional magnetic resonance imaging (fMRI) signals of cortical responses to slowly moving visual stimuli on the retina. Biological evidences show the retinotopic mapping is topology-preserving/topological (i.e. keep the neighboring relationship after human brain process) within each visual region.
Unfortunately, due to limited spatial resolution and the signal-noise ratio of fMRI, state of art retinotopic map is not topological.
The topic was to model the topology-preserving condition mathematically, fix non-topological retinotopic map with numerical methods, and improve the quality of retinotopic maps.
The impose of topological condition, benefits several applications.
With the topological retinotopic maps, one may have a better insight on human retinotopic maps, including better cortical magnification factor quantification, more precise description of retinotopic maps, and potentially better exam ways of in Ophthalmology clinic.
Date Created
2022
Contributors
- Tu, Yanshuai (Author)
- Wang, Yalin (Thesis advisor)
- Lu, Zhong-Lin (Committee member)
- Crook, Sharon (Committee member)
- Yang, Yezhou (Committee member)
- Zhang, Yu (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
121 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.2.N.168694
Level of coding
minimal
Cataloging Standards
Note
Partial requirement for: Ph.D., Arizona State University, 2022
Field of study: Computer Science
System Created
- 2022-08-22 06:15:23
System Modified
- 2022-08-22 06:15:46
- 2 years 2 months ago
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