The mathematical language of the hologram;
Dennis Gabor's theory that later won him a nobel prize......was mathematical. He was trying to improve the electron microscope, back in the 40's. His approach used a type of caculus invented by Jean B.J. Fourier. Roughly speaking it was a way to mathematically convert any pattern no matter how complex into a language of simple waves. He also showed how these waves could be converted back into the original pattern. Known as Fourier transforms. In fact the special whole in every part of a hologram is one of the by products when an image or pattern is translated into Fourier language. These transforms are what allowed Gabor to convert a picture of an object into the blur of interference patterns on a piece of holographic film. And also allowed him a way to convert those patterns back into an image of the original object. in the 70's neurophysiologists Karen and Russel De Valois
discovered that each brain cell in the visual cortex responded to a different pattern. They went on to prove that the brain was actually responding not to the original patterns, but to Fourier translations of the patterns. The brain was using Fourier mathematics to convert visual images into the Fourier language of wave forms. It did not take Pibram long to realize after looking into other research on hearing and skin to start looking for ways to establish evidence that we rely on using frequency analysis to interpret the world around us.
In the 1930's a Russian scientist, Nikolai Berstein filmed dancers in black leotards on a black background with white dots on knees, elbows, head, and other joints, so that when viewing the film one would see only the white dots. He Fourier analyzed the various lines the dots traced out and converted them into the language of wave forms. To his surprise he discovered the wave forms contained hidden patterns that enabled him to predict his subjects next move to within fractions. When Pribram encountered his work
he recognized through implication, an exciting possibility that if the brain analyzed complex movement into their frequency patterns it would help to explain the rapidity with which we learn
complex tasks like riding a motorcycle.
To be continued;