Merging patterns together based on similar data patterns is not what the brain does.
How does the brain classify. "dog bark" as a concept when the auditory data of the bark has nothing similar to the visual data patterns of what a dog looks like when they bark? The brain will classify these auditory and visual patterns together as the same concept, even though there is no shared patterns in the data. (I do know the answer to this). But data similarity is not the right answer.
Everything is relative in perception. Sizes are relative, brightness is relative, quantities (counts) are relative, positions are relative, etc. There are no way to memorize absolute values. So the best way to represent a pattern is not a "normalized fragment" but a combination of relative values. Then absolute sizes, brightness, total quantities etc can all change but the relative values of the parts of an object for the same type of object will remain the same. To capture relative values represent them as ratios. Ratios can be re-recognized because they are discrete / symbolic, provided you use a particular resolution which ideally is determined by the Just Noticeable Difference as discovered by Weber & Fechner in Psychophysics.
Merging patterns together based on similar data patterns is not what the brain does.
How does the brain classify. "dog bark" as a concept when the auditory data of the bark has nothing similar to the visual data patterns of what a dog looks like when they bark? The brain will classify these auditory and visual patterns together as the same concept, even though there is no shared patterns in the data. (I do know the answer to this). But data similarity is not the right answer.
Everything is relative in perception. Sizes are relative, brightness is relative, quantities (counts) are relative, positions are relative, etc. There are no way to memorize absolute values. So the best way to represent a pattern is not a "normalized fragment" but a combination of relative values. Then absolute sizes, brightness, total quantities etc can all change but the relative values of the parts of an object for the same type of object will remain the same. To capture relative values represent them as ratios. Ratios can be re-recognized because they are discrete / symbolic, provided you use a particular resolution which ideally is determined by the Just Noticeable Difference as discovered by Weber & Fechner in Psychophysics.