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Scientists Find That Humble Moss Fires Electrical Signals Like a Brain

By Jamie Sullivan · Thursday, July 23, 2026
Finn's Take· TL;DR
  • Moss generates complex electrical signals resembling neural activity, with coordinated waves across its entire structure despite lacking a brain.
  • Researcher used electrodes to record moss electrical behavior over multiple days, finding rapid spikes and slower rhythmic patterns similar to neurons.
  • Findings suggest moss could potentially serve as biological computing substrate, opening possibilities for unconventional computing systems based on living organisms.
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The Moss Beneath Your Feet May Be Running Its Own Network

It grows on rocks, creeps across sidewalk cracks, and carpets the forest floor. Most of us barely notice it. But according to a striking new study, that fuzzy green moss is doing something far more interesting than just sitting there — it's pulsing with complex electrical waves that bear an uncanny resemblance to the firing patterns of a neural network.

A new study, published in Royal Society Open Science, reveals that moss cushions produce surprisingly complex electrical activity, with patterns that undulate across the velvety patch in dynamic waves. The findings are already turning heads in the scientific community, raising profound questions about how even the most primitive plants process and communicate information.

A Computer Scientist Turns to an Ancient Plant

The study's sole author, Andy Adamatzky, is actually a computer scientist, whose fascination with unconventional "computing" systems like slime molds, crowds, and mycelium networks has now led him to a new the humble moss, Brachythecium rutabulum. Adamatzky is a professor at the University of the West of England, Bristol, where he studies unconventional computing.

Moss lacks vascular systems — no xylem, no phloem, the conduits other plants use to pump water and nutrients. That structural simplicity is exactly what makes its electrical behavior so surprising. Adamatzky collected B. rutabulum from North Somerset, UK, brought it back to the lab, and inserted electrodes to see what was happening inside that soggy green matrix.

The research presents the first centimetre-scale, multi-day characterization of moss's natural electrical behavior. Like many plants, moss lives life in slow motion, so to get on its level, Adamatzky recorded its electrical behavior across multiple days. What he found was far from boring.

Brain-Like Signals in a Brainless Organism

The recordings revealed "a rich repertoire of electrical events, including components consistent with both physiological activity and slower drift-related processes: fast oscillatory spikes, slower rhythmic fluctuations and very slow depolarization waves." Then came the detail that really caught attention: "In addition to these described classes, we also observed spikes resembling high-amplitude action potentials and neuron-like spike trains."

In other words, the moss was generating signals that look strikingly similar to the electrical impulses fired by neurons in an animal brain. Some of the moss's electrical waves were rapid, while others undulated slowly. They tended to spread across the entire cushion rather than remaining confined to a particular region, and followed patterns across different timescales. The moss wasn't just flickering randomly — it was coordinating signals across its whole body.

Adamatzky's findings suggest that "moss cushions behave as spatially distributed excitable systems potentially capable of coordinating and integrating electrical signals across both space and time." That's a remarkable claim for an organism most people scrape off their garden walls.

What This Could Mean for the Future of Computing

Adamatzky isn't just interested in moss for biology's sake. His broader research agenda has always pointed toward one ambitious goal: finding computing power in unexpected places. Much more detailed research is needed before we will know whether mosses could actually act as "responsive sensory networks or distributed biocomputing substrates," as Adamatzky proposes in his paper.

The implications, if the theory holds, are extraordinary. Living, self-sustaining organisms that process and transmit information could one day complement or even inspire entirely new forms of biological computing. For now, the study stands as a powerful reminder that nature's simplest creations are rarely as simple as they seem — and that the next breakthrough in computing might be growing quietly on the nearest damp stone.

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