Various estimates put the brain's storage capacity anywhere between 1 and 1000 terabytes.
However, one estimate assuming a molecular level of data storage put the brain's capacity at 3.6 x 10^19 bytes. That is 360 million terabytes.
I think we may find the brain's capacity is much larger than 1000 terabytes. The brain is a heuristic computer. This gives rise to the possibility that brain actually learns how to increase its own capacity over time by adapting and multiplying its own compression factors as it matures as welll as degrading data.
If we think of the brain as consisting entirely of volatile read-write storage, then the brain has the ability at its core to rewrite how it links memories and experiences and how it extrapolates learning from the analysis and corroboration of these experiences. This is a much higher order of storage capacity than we implement today in computer systems.
It has been demonstrated in a lab that 25,000 rat neurons self-organized into a rudimentary brain which taught itself to stabilize a flight simulator that was feeding data into it. So even on a very elementary level it's clear that neural networks operate in a much more dynamic fashion than the forms of volatile and novolatile storage we developed for computer systems.
2007-06-20
13:32:04
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10 answers
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asked by
♥SIO♥ うちは サスケ
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