A fundamental problem facing sensory systems is to recover useful information about the external world from signals that are corrupted by the sensory process itself. Retinal images in the human eye are affected by optical aberrations that cannot be corrected with ordinary spectacles or contact lenses, and the specific pattern of these aberrations is different in every eye. Though these aberrations always blur the retinal image, our subjective impression is that the visual world is sharp and clear, suggesting that the brain might compensate for their subjective influence. The recent introduction of adaptive optics to control the eye’s aberrations now makes it possible to directly test this idea. If the brain compensates for the eye’s aberrations, vision should be clearest with the eye’s own aberrations rather than with unfamiliar ones. We asked subjects to view a stimulus through an adaptive optics system that either recreated their own aberrations or a rotated version of them. For all five subjects tested, the stimulus seen with the subject’s own aberrations was always sharper than when seen through the rotated version. This supports the hypothesis that the neural visual system is adapted to the eye’s aberrations, thereby removing somehow the effects of blur generated by the sensory apparatus from visual experience. This result could have important implications for methods to correct higher order aberrations with customized refractive surgery because some benefits of optimizing the correction optically might be undone by the nervous system’s compensation for the old aberrations.
Search
Categories
Archives
- October 2024 (5)
- July 2024 (8)
- June 2024 (1)
- October 2023 (2)
- July 2023 (5)
- June 2023 (1)
- July 2022 (10)
- July 2021 (5)
- March 2021 (2)
- October 2020 (36)
- September 2020 (122)
- August 2020 (10)
- July 2020 (38)
- April 2020 (1)
- April 2018 (1)
- September 2017 (2)
Neural compensation for the eye’s optical aberrations
- Voptica
- VAO Publications
Journal:
Journal of Vision
Year:
2004
Link:
Authors:
Pablo Artal, Li Chen, Enrique J. Fernández, Ben Singer, Silvestre Manzanera, David R. Williams