Summary
This thesis explores algorithmic approaches to analyzing visual electrophysiological signals, potentially improving the objectivity and reliability of clinical vision assessments. Practical applications may include more accurate detection of retinal and visual pathway disorders relevant to lighting-related eye health research.
Categories
Eye Health & Vision: The thesis investigates objective signal identification methods for visual electrophysiology recordings, directly relevant to retinal and visual pathway assessment.
Author(s)
T Wright
Related Publications
Eye Health & Vision
- Diminished pupillary light reflex at high irradiances in melanopsin-knockout mice
- Genetic reactivation of cone photoreceptors restores visual responses in retinitis pigmentosa
- Melanopsin and rod–cone photoreceptors play different roles in mediating pupillary light responses during exposure to continuous light in humans
- Characteristic patterns of dendritic remodeling in early-stage glaucoma: evidence from genetically identified retinal ganglion cell types
- Intrinsically photosensitive melanopsin retinal ganglion cell contributions to the pupillary light reflex and circadian rhythm