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Lynne Kiorpes

Researcher at Center for Neural Science

Publications -  103
Citations -  3510

Lynne Kiorpes is an academic researcher from Center for Neural Science. The author has contributed to research in topics: Macaque & Visual cortex. The author has an hindex of 34, co-authored 102 publications receiving 3287 citations. Previous affiliations of Lynne Kiorpes include Max Planck Society & University of Washington.

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Neuronal Correlates of Amblyopia in the Visual Cortex of Macaque Monkeys with Experimental Strabismus and Anisometropia

TL;DR: Quantitative analysis suggests that abnormalities in both the eye dominance and spatial properties of visual cortex neurons were related on a case-by-case basis to the depth of amblyopia, and suggests that studies of extrastriate cortical areas may uncover further abnormalities that explain these deficits.
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Effects of early unilateral blur on the macaque's visual system. II. Anatomical observations.

TL;DR: It is suggested that unilateral neonatal blur preferentially affects the parvocellular layers of the LGN and layer 4C beta of striate cortex, which are the portions of the central visual system associated with the processing of information concerning fine spatial detail.
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Neural mechanisms underlying amblyopia

TL;DR: The nature of the neural basis of amblyopia is a matter of some debate, but recent neurophysiological data show correlates in the spatial properties of neurons in primary visual cortex that are probably the initial manifestation of the visual loss.
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Visual Processing in Amblyopia: Animal Studies

TL;DR: In the past five years, substantial progress has been made in knowledge of the neural basis of amblyopia, with new psychophysical data showing perceptual deficits in amblyopic animals that are not explained by simple losses in contrast sensitivity.
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Analysis of the development of spatial contrast sensitivity in monkey and human infants

TL;DR: A reanalysis of published data shows that the development of the spatial contrast sensitivity function can be described satisfactorily by the simultaneous vertical and horizontal scaling of a template function whose shape on a log-log axis does not change during development.