Why 0s and 1s aren't enough 3-part biological memory model exposes limits of AI silicon

Date:
Tue, 25 Aug 2026 18:40:00 +0000

Description:
Researchers propose that memory depends on neurons, astrocytes, surrounding molecules, and chemical signals, challenging purely electronic explanations
of cognition.

FULL STORY ======================================================================Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Brain chemistry may contribute to memory beyond ordinary electrical signalling AI systems process
information without the living cellular environment found inside brains Astrocytes could play an important role in processing cognitive information A new scientific model argues that binary code, the 0s and 1s underlying every computer, cannot fully explain how memory works.

Researchers Gerard Marx of MX Biotech Ltd. and Chaim Gilon of the Hebrew University of Jerusalem base their model on molecular and cellular evidence. Their theory, called the Tripartite Mechanism of Memory, proposes that three biological components, not binary switches, are what generate genuine memory. Latest Videos From TechRadar Watch full video here: A chemical basis for how memory actually forms Unlike a silicon chip storing information as binary states, the tripartite model proposes that memory arises through three separate biological elements interacting.

These elements include brain cells, particularly astrocytes, interacting with neurons, along with the molecular environment surrounding those individual cells directly. You may like Key partner to Nvidia, ASML and TSMC brings next-gen RAM and NAND replacements even closer How scientists programmed
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A third component involves specific chemicals, such as metal ions, neurotransmitters, and gliotransmitters, circulating continuously throughout the brain's living tissue.

The researchers suggest that living brains may do more than simply transmit electrical signals between individual neurons scattered across tissue. Are
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They may also write and read certain kinds of information chemically, a process with no clear equivalent inside a silicon processor.

Astrocytes, abundant brain cells that interact closely with neurons, occupy a particularly important place within this newly proposed scientific model.

Marx and Gilon propose that clusters of astrocytes participate in processing cognitive information alongside neurons and the surrounding cellular environment. What to read next Why Human+AI collaboration beats AI-only automation Inference needs memory: how context is becoming AI infrastructure Experts find AI agents can be tricked into 'remembering' fake facts for
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A central part of their argument holds that biological memories are never simply pieces of stored logical information by themselves.

They argue that biological memory carries an emotional dimension that no binary code stored inside a computer's memory bank can replicate.

Their model treats chemical messengers, including neurotransmitters, as essential parts of the mechanism by which cognitive information becomes fully encoded. What the chemistry of memory means for AI Both computers and biological brains can store and retrieve information, though their underlying mechanisms may differ in fundamental ways.

In a computer, information ultimately carries a physical aspect that is encoded directly into its silicon hardware and internal circuitry.

Marx and Gilon ask whether biological memory also carries a physical aspect, though one rooted in living cells and organic chemistry.

That distinction grows increasingly relevant as AI systems become more
capable of performing tasks tied closely to human logical reasoning.

Their paper directly challenges the assumption that greater computational power and complexity alone would necessarily produce biological-like consciousness in machines.

The researchers argue that purely electronic systems lack the biological infrastructure and emotional processes characteristic of living, breathing organisms entirely.

Their argument is not that AI cannot perform increasingly sophisticated intellectual tasks as computing power keeps expanding rapidly each year.

Rather, it raises a more fundamental question about whether intelligent behaviour equals the biological processes producing memory, emotion, and thought. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.



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Link to news story: https://www.techradar.com/pro/why-0s-and-1s-arent-enough-3-part-biological-mem ory-model-exposes-limits-of-ai-silicon


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