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by nathan_compton
278 days ago
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A Fourier transform is just a change of coordinates. It has nothing to do with the signal per se. If you have a signal which was measured or recorded with finite precision (as any signal must be) then the fourier transform (as a pure mathematical object) simply preserves the same amount of loss that the original signal had. But, in fact, to do that, we would need to do the transform on hardware that could represent real numbers. This hardware does not exist in computers or in your brain, and so a fourier transform is lossy in that case. Still, the idea that your brain encodes all information in oscillations is not accurate - your temporary electrical activity can be substantially disrupted without you losing your memories, suggesting very strongly (to put it mildly) that some of your memories are encoded chemically and physically in changes to the connectivity between neurons that do not depend on persistent electrical activity. That encoding scheme must be lossy. |
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Without direct perception, and using such poor tools as symbols and narratives to externalize memory, we're deeply impoverished as to the nature of memory and our ability to access it. But once we have a better grasp of the neuronal units, spatial-syntax, we will unlock every memory.
https://pmc.ncbi.nlm.nih.gov/articles/PMC10500127/
Also to consider are the shapes and phases between oscillation. "It’s high dimensional complexity; the mind is an attractor in high dimensional phase space formed between neural oscillators." Emergent properties are not reducible to their constituent parts.