Devices, Systems, and Methods for Evaluating Vision and Diagnosing and Compensating Impairment of Vision
A system and method for evaluating and predicting visual perception of animals are provided. Retinal image data or other data representing the pathology of an animal is provided as input to a nonlinear computational model of a primary visual cortex of an animal. A plurality of images of a predetermined set of recognizable objects is applied to the computational model input and then made accessible to a processor for generation of the model. A confidence estimate of a recognition by the model of the object represented by the selected image is generated. The system and method allow for quantifying the impact on visual perception of a predetermined condition, as well as determining a strategy for ameliorating the effect of a visual impairment Weights in the computational model regression can be adjusted to provide the best prediction results. This can be done by iterative optimization, for example, using psychometric data.
SAJDA PAUL [US]; SHI JIANING [US]; SMITH R THEODORE [US]; WIELAARD JAMES [US]
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