Publications by authors named "G D Aguirre"
Machine tool accuracy is greatly influenced by geometric and thermal errors that cause positioning deviations within its working volume. Conventionally, these two error sources are treated separately, with distinct procedures employed for their characterization and correction. This research proposes a unified volumetric error compensation approach in terms of a calibration procedure and error compensation model, which considers geometric and thermal errors as a single error source that exhibits temporal variation primarily due to changes in the machine's thermal state.
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- The study evaluates the long-term effects of RPE65 gene therapy in middle-aged dogs with RPE65 mutations, highlighting variability in treatment effectiveness among different animals and regions of the retina.
- Key findings reveal significant downregulation of genes related to retinal health in untreated mutant dogs, while treated ones show less degeneration but ongoing photoreceptor stress and synaptic loss.
- The research concludes that there is a shift from harmful degenerative processes to more compensatory mechanisms in advanced stages of retinal disease, potentially due to resilient cells, which may affect future treatment outcomes.
Objective: To introduce a novel approach to analyzing pattern reversal visual evoked potentials (prVEPs) using a difference-of-gammas model-based fitting method.
Methods: prVEP was recorded from uninjured youth ages 11-19 years during pre- or postseason sports evaluation. A difference-of-gammas model fit was used to extract the amplitude, peak time, and peak width of each of four gamma components.
Adaptive optics ophthalmoscopy has enabled visualization of the in vivo human photoreceptor mosaic in health, disease and its treatment. Despite this, the clinical utility of the imaging technology has been limited by a lack of automated analysis techniques capable of accurately quantifying photoreceptor structure and a lack of an available normative image database. Here, we present a fully automated algorithm for estimating cone spacing and density over a complete adaptive optics montage along with a database of normative images and cone densities.
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- The tilt illusion demonstrates how the surrounding context influences our perception of visual stimuli, highlighting a bias in the orientation of a central image due to its background.
- Despite over 85 years of research, there is still no comprehensive explanation linking the neural and behavioral aspects of this phenomenon.
- Recent studies show that the tilt illusion arises from changes in how precisely our brains encode visual information, with enhanced accuracy for stimuli that match the surrounding orientation, suggesting a dynamic adjustment of neural resources based on context.