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Vision Egg

Allows non-experts to use modern computer hardware to its maximum capability for common vision science tasks. Vision Egg is an open source computer programming library which makes use of modern hardware accelerated graphics using OpenGL to generate visual stimuli. This method permits to draw a wide variety of stimulus types. It also includes two applications for integration within an electrophysiology environment, one which draws stimuli on its video hardware, and another which offers a Graphical User Interface (GUI) for the experimenter to control.

Computer Oculomotor Rehabilitation

Assists users to study mild traumatic brain injurym (TBI)/traumatic brain injury (TBI). COR is an oculomotor rehabilitation program contains: (1) automated assessment of Resource Reservation Protocol (RSVP) errors; (2) a versatile stimulus package; (3) the ability to add a visual and/or auditory distractor to the training to increase difficulty level; (4) automated assessment of visual performance. The utilization of this tool is possible for over a wide range of diagnostic groups manifesting abnormal oculomotor control.

pulse2percept

Predicts the perceptual experience of retinal prosthesis patients across a wide range of implant configurations. pulse2percept provides simulations to evaluate the perceptual experiences likely to be produced across current and future devices. The software predicts the perceptual distortions experienced by "virtual patients" over space and time. It can help to improve stimulation protocols for existing devices, guide reimbursement decisions and help patients and doctors in their decision as to when or whether to be implanted, and which device to select.

WINROP

Provides an online monitoring system, following weight gain, for predicting developing sight threatening retinopathy of prematurity (ROP). Use of WINROP requires that an infant has (1) GA less than 32 weeks at birth, (2) weekly weight measurements, (3) physiologic weight gain, and (4) absence of other pathologic retinal vascular disease. WINROP has demonstrated 100% sensitivity in predicting severe ROP in 2 Swedish and US populations. The WINROP system was also validated in a Brazilian population with a sensitivity of 90.5% in predicting proliferative ROP.

UT VR-Lab Video Recorder/Reader

Video recording tools used for experiments in the Virtual Reality lab at the University of Texas at Austin. UT VR-Lab Video Recorder/Reader were created to fill the need to synchronize the recordings of visual data with eye tracking data and user defined metadata in real time. This toolkit provides libraries that record the image stream presented to human subjects in real time along with a visual and text-based recording of data output from the eye-tracking software and virtual reality environment. Using this video record of the experimental process, experimenters are afforded immediate visual inspection of behavioral data, a numerical record for automated quantitative analysis, and a means for verifying that the data have been accurately interpreted and reconstructed following quantitative analysis.