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Science

Our Memory Capacity Could Be 10 Times Larger Than We Thought

Edmund Ayitey
Last updated: February 18, 2025 8:51 am
Edmund Ayitey
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Neuroscientists have made a groundbreaking discovery: our brains may have 10 times the memory capacity previously estimated, equating to at least 1 petabyte (1 million GB) of storage space.

To put that into perspective, that’s roughly the equivalent of 31,250 iPhone 7s (32GB models)—all packed into the human brain’s intricate network.

A Stunning Revelation in Neuroscience

“This is a real bombshell in the field of neuroscience,” says Terry Sejnowski from the Salk Institute for Biological Studies.

“Our new measurements of the brain’s memory capacity increase conservative estimates by a factor of 10 to at least a petabyte—in the same ballpark as the entire World Wide Web.”

For clarity, while we often compare brain function to computer storage, our brains are vastly more complex and flexible than any hard drive.

Unlike computers, which store data in specific locations, the human brain encodes memory through intricate networks of electrical pulses distributed across multiple areas.

More Than Just Data Storage

Neuroscientist Robert Epstein highlights a key difference between the brain and computers: “The human brain doesn’t store words or the rules that tell it how to manipulate them, and it doesn’t create representations of visual stimuli the way computers do.

Organisms function differently from machines.“

Still, using computer-related metaphors helps illustrate the immense capacity of our brains, and new findings suggest that capacity is far greater than previously believed.

A Closer Look at Synapses

Sejnowski and his team reconstructed the hippocampus, an area of the brain crucial for long-term memory, using advanced 3D computer modeling based on a rat’s brain.

During this process, they discovered an unexpected phenomenon: a single axon connecting to two identical synapses leading to the same dendrite.

This duplicate signaling, found in about 10% of hippocampal connections, wasn’t well understood before.

The team decided to take a deeper dive to see if synaptic size played a larger role than previously thought.

The 8% Difference That Changes Everything

Using cutting-edge algorithms and microscopic imaging techniques, the researchers mapped synapses at the nanomolecular level, revealing details never seen before.

What they found was surprising—duplicate synapses were nearly identical, with only an 8% difference in size.

“We were amazed to find that the difference in the sizes of the pairs of synapses was very small, on average, only about 8 percent different.

No one thought it would be such a small difference. This was a curveball from nature,” says Tom Bartol from the Salk Institute.

This seemingly tiny 8% variation completely reshapes our understanding of memory capacity.

Previously, scientists believed synapses came in just three sizes: small, medium, and large.

However, this discovery suggests synapses can exist on a more precise spectrum, significantly increasing the brain’s ability to store information.

The Brain’s Constant Adaptation

It turns out synapses aren’t static—they adjust every 2 to 20 minutes based on the signals they receive.

“This means that your synapses are continually changing size, adapting in real time to the input they receive,” explains Bartol.

This dynamism provides an efficient, scalable way for the brain to store and manage massive amounts of data without running out of space.

What This Means for Neuroscience and AI

While this study was conducted on rats, further research is needed to confirm whether the same mechanisms apply to humans.

If they do, this discovery could revolutionize neuroscience, AI development, and brain-inspired computing.

“The implications of what we found are far-reaching,” says Sejnowski.

“Hidden under the apparent chaos of the brain is an underlying precision to the size and shapes of synapses that was hidden from us.“

This breakthrough could pave the way for more efficient neuromorphic hardware—computers designed to mimic brain function.

Today’s AI systems struggle with memory constraints, but learning from the brain’s adaptive synapse model could lead to computers that are not only more powerful but also far more efficient.

As scientists continue exploring these revelations, one thing is clear: the human brain is an even more astonishing machine than we ever imagined.

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