Results 51 to 60 of about 13,480,944 (399)

Remaining visual field and preserved subjective visual functioning prevent mental distress in patients with visual field defects

open access: yesFrontiers in Human Neuroscience, 2013
Background: Patients with visual field defects after visual pathway lesion may experience reduced vision-related quality of life (vrQoL). It has not been clarified how vrQoL impairments contribute to vision-related mental distress.Methods: 108 subjects ...
Carolin eGall   +2 more
doaj   +1 more source

A study of retinal parameters measured by optical coherence tomography in patients with multiple sclerosis [PDF]

open access: yesInternational Journal of Ophthalmology, 2015
To investigate the difference of retinal nerve fiber layer (RNFL) thickness and macular fovea thickness/volume between multiple sclerosis (MS) patients and healthy normal individuals using optical coherence tomography (OCT) and assess its association ...
Sai-Jing Hu, Yi-An You, Yi Zhang
doaj   +1 more source

Frontal Eye Field Neurons Assess Visual Stability Across Saccades [PDF]

open access: yes, 2012
The image on the retina may move because the eyes move, or because something in the visual scene moves. The brain is not fooled by this ambiguity. Even as we make saccades, we are able to detect whether visual objects remain stable or move.
Crapse, Trinity B., Sommer, Marc A.
core   +2 more sources

valuation of Subclinical Multiple Sclerosis Patients Using Pattern Visual Evoked Potentials and Visual Field Test

open access: yesTürk Oftalmoloji Dergisi, 2014
Objectives: The aim of this study was to evaluate subclinical multiple sclerosis (MS) patients with normal visual acuity using pattern visual evoked potentials (PVEP) test and central 30-2 threshold visual field (VF) test.
Sinan Bilgin   +2 more
doaj   +1 more source

Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information [PDF]

open access: yes, 2008
Local field potentials (LFPs) reflect subthreshold integrative processes that complement spike train measures. However, little is yet known about the differences between how LFPs and spikes encode rich naturalistic sensory stimuli.
Belitski, A.   +6 more
core   +2 more sources

Visual Field Outcomes for the Idiopathic Intracranial Hypertension Treatment Trial (IIHTT)

open access: yesInvestigative Ophthalmology and Visual Science, 2016
Purpose The Idiopathic Intracranial Hypertension Treatment Trial (IIHTT) showed that acetazolamide provided a modest, significant improvement in mean deviation (MD). Here, we further analyze visual field changes over the 6-month study period.
M. Wall   +5 more
semanticscholar   +1 more source

Learning in Audio-visual Context: A Review, Analysis, and New Perspective [PDF]

open access: yesarXiv, 2022
Sight and hearing are two senses that play a vital role in human communication and scene understanding. To mimic human perception ability, audio-visual learning, aimed at developing computational approaches to learn from both audio and visual modalities, has been a flourishing field in recent years.
arxiv  

Neural correlates of motion-induced blindness in the human brain [PDF]

open access: yes, 2010
Motion-induced blindness (MIB) is a visual phenomenon in which highly salient visual targets spontaneously disappear from visual awareness (and subsequently reappear) when superimposed on a moving background of distracters. Such fluctuations in awareness
Rees, G., Schölvinck, M.L.
core   +1 more source

Early Clinical and Subclinical Visual Evoked Potential and Humphrey's Visual Field Defects in Cryptococcal Meningitis. [PDF]

open access: yes, 2012
Cryptococcal induced visual loss is a devastating complication in survivors of cryptococcal meningitis (CM). Early detection is paramount in prevention and treatment.
A Moodley   +30 more
core   +2 more sources

Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Large-scale labeled data are generally required to train deep neural networks in order to obtain better performance in visual feature learning from images or videos for computer vision applications.
Longlong Jing, Yingli Tian
semanticscholar   +1 more source

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