
Elon Musk recently that Blindsight, a cortical implant to restore vision, would have low resolution at first ābut may ultimately exceed normal human vision.ā
That pronouncement is unrealistic at best, according to new research from the 91±¬ĮĻ.
, lead author and 91±¬ĮĻ professor of psychology, said Muskās projection for the latest project rests on the flawed premise that implanting millions of tiny electrodes into the visual cortex, the region of the brain that processes information received from the eye, will result in high-resolution vision.

For the study, , the researchers created a computational model that simulates the experience of a wide range of human cortical studies, including an extremely high-resolution implant like Blindsight. One simulation shows that a movie of a cat at a resolution of 45,000 pixels is crystal-clear, but a movie simulating the experience of a patient with 45,000 electrodes implanted in the visual cortex would perceive the cat as blurry and barely recognizable.
Thatās because a single electrode doesnāt represent a pixel, Fine said, but instead stimulates, at best, a single neuron.
On a computer screen, pixels are tiny ādots.ā But thatās not the case in the visual cortex. Instead, each neuron tells the brain about images within a small region of space called the āreceptive field,ā and the receptive fields of neurons overlap. This means that a single spot of light stimulates a complex pool of neurons. Image sharpness is determined not by the size or number of individual electrodes, but the way information is represented by thousands of neurons in the brain.
āEngineers often think of electrodes as producing pixels,ā Fine said, ābut that is simply not how biology works. We hope that our simulations based on a simple model of the visual system can give insight into how these implants are going to perform. These simulations are very different from the intuition an engineer might have if they are thinking in terms of a pixels on a computer screen.ā
The researchersā approach was to use a wide range of animal and human data to generate computational āvirtual patientsā that show, for the first time, how human electrical stimulation in the visual cortex might be experienced. Even blurry vision would be a life-changing breakthrough for many people, Fine said, but these simulations ā which represent the likely best-case scenario for visual implants ā suggest that caution is appropriate.
While Fine said Musk is making important strides in the engineering challenge of visual implants, a big obstacle remains: Once the electrodes are implanted and stimulating single cells, you still need to recreate a neural code ā a complex pattern of firing over many thousands of cells ā that creates good vision.
āEven to get to typical human vision, you would not only have to align an electrode to each cell in the visual cortex, but youād also have to stimulate it with the appropriate code,ā Fine said. āThat is incredibly complicated because each individual cell has its own code. You canāt stimulate 44,000 cells in a blind person and say, āDraw what you see when I stimulate this cell.ā It would literally take years to map out every single cell.ā
So far, Fine said scientists have no idea of how to find the correct neural code in a blind individual.
āSomebody might one day have a conceptual breakthrough that gives us that Rosetta Stone,ā Fine said. āItās also possible that there can be some plasticity where people can learn to make better use of an incorrect code. But my own research and that of others shows that thereās currently no evidence that people have massive abilities to adapt to an incorrect code.ā
Without that sort of development, the vision provided by Blindsight and similar projects will remain fuzzy and imperfect ā no matter how sophisticated the electronic technology.
For now, the models developed in the study could be used by researchers and companies to aid in the placement of existing devices and the development of new technology, among other benefits. Entities like the Food and Drug Administration and Medicare could also gain insight into what sort of tests are important when evaluating devices. Further, the models provide realistic expectations for surgeons, patients and their families.
āMany people become blind late in life,ā Fine said. āWhen youāre 70 years old, learning the new skills required to thrive as a blind individual is very difficult. There are high rates of depression. There can be desperation to regain sight. Blindness doesnāt make people vulnerable, but becoming blind late in life can make some people vulnerable. So, when Elon Musk says things like, āThis is going to better than human vision,ā that is a dangerous thing to say.ā
, 91±¬ĮĻ professor of psychology, was a co-author. The research was funded by the National Institutes of Health.
For more information, contact Fine at ionefine@uw.edu.