Figure 1: Virtual and real patients for bionic vision. Top row: Retinal prosthesis patient. A microelectrode array is implanted in the eye to stimulate the retina (left). Light captured by an external camera is transformed into electrical pulses delivered to the retina to evoke visual percepts (middle), which a patient uses to walk towards a door (right). Bottom row: Virtual patient. Anatomical data is used to place a simulated implant on a simulated retina (left). Visual input from a virtual reality (VR) device is used to generate realistic predictions of simulated prosthetic vision (SPV, middle), which a virtual patient uses to walk to a simulated door in VR (inner-right), or a door in the real world captured by the head-mounted display's camera (outer-right). Edges stand out due to the specific preprocessing methods used, but a variety of methods can be tested. Behavioral performance can then be compared between real prosthesis patients, SPV of the real world, and SPV of the virtual world.
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