Human brain storage may be 1,000 times greater than expected
Researchers from Nanjing University have developed a new physics-based model suggesting the human brain can store significantly more information than previously estimated. By treating neurons as collective systems rather than independent processors, the study highlights the brain's extreme energy efficiency.
Why it matters
This discovery could provide a new blueprint for developing more energy-efficient artificial intelligence systems that mimic biological neural efficiency.
The human brain performs trillions of calculations every day while consuming about as much electricity as a dim light bulb.
Despite decades of research, scientists have never fully understood how it stores so much information or processes it with such extraordinary efficiency.
A new physics-based study offers a surprising answer.
Instead of treating neurons as independent processors, the researchers argue that groups of neurons work together as collective systems.
The team’s model suggests the brain operates at nearly the theoretical limit of energy efficiency.
It also indicates that the brain can store about a thousand times more information than previous estimates and may offer a blueprint for dramatically more efficient artificial intelligence.
For decades, brain science has explained thinking through single parts.
Researchers traced how one neuron fires, how a synapse passes a signal, and how brain regions communicate with one another.
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