FungalProtocol

Decoding the electrical language of billion-year-old intelligence

The first standardized API for fungal electrical signals. Turn raw mycelium spikes into reproducible signatures. Discover super-signaler strains. Build the biological computing revolution.

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What if consciousness doesn't require a brain?

Fungi have survived for over a billion years, forming planet-scale networks that sense, remember, and adapt. Their electrical language has been hidden in plain sight.

🌍

Living Sensor Networks

Mycelium spanning continents, detecting soil health, pollution, and climate shifts in real-time. A biological internet older than silicon.

🧠

Distributed Intelligence

No central processor, yet they solve optimization problems, navigate mazes, and make decisions. What emerges when we decode their protocols?

⚡

Bio-Electric Computation

Beyond binary logic. Fungal spikes encode analog gradients, temporal patterns, and chemical states. A computing substrate we're just learning to read.

The Missing Infrastructure

Brilliant experiments across dozens of labs. Reproducibility nightmare. No standard formats, no benchmarks, no way to compare a Tokyo strain with a Bristol strain. Until now.

“Fungi possess almost all the senses as humans do. They sense light, chemicals, gases, gravity and electric fields. Fungi exhibit an electrical response to stimulation in a matter of seconds or minutes.”

— Andrew Adamatzky, Fungal Machines

FungalProtocol is the standardization layer that lets researchers worldwide compare results, discover super-signaler strains, and unlock reproducible fungal computation.

Built on Foundational Science

FungalProtocol builds upon decades of research documented in Fungal Machines and Advances in Physarum Machines.

Action Potential-Like Spikes

Fungi generate electrical impulses similar to neurons, with high-frequency (2.6 min period) and low-frequency (14 min period) spiking modes.

Fungal Electronics

Experimental prototypes of fungal oscillators, capacitors, memristors, and low-pass filters demonstrate electronic behavior in biological substrates.

Physarum Computing

Slime mould Physarum polycephalum performs distributed sensing, parallel computation, and develops optimal networks of protoplasmic tubes.

Boolean Logic Gates

Fungal colonies can implement Boolean gates through electrical spiking patterns and spatial organization.

Fungal Language

Research into the "language" of fungi through analysis of electrical spiking patterns and potential cognition.

Sensing Capabilities

Fungi sense light, chemicals, gases, gravity, and electric fields - responding electrically within seconds.

Honoring the Pioneers

This project is a tribute to the researchers who pioneered the field of fungal and slime mold computing.

Andrew Adamatzky

Editor & Pioneer

Unconventional Computing Laboratory, UWE Bristol

Editor of both Fungal Machines and Advances in Physarum Machines. Pioneer of biological computing.

Antoni Gandia

Contributor

Research collaborator

Co-author on fungal electrical activity, anaesthesia, and sensing research.

Alessandro Chiolerio

Contributor

Research collaborator

Contributor to fungal electronics and wearables research.

Richard Mayne

Contributor

UWE Bristol

Author on Physarum biology, slime mould nanotechnology.

Michail-Antisthenis Tsompanas

Contributor

Research collaborator

Contributor to fungal photosensors and computing systems.

Konrad Szaciłowski

Contributor

Research collaborator

Author on fungal capacitors and frequency discrimination.

API Capabilities

A unified interface for biological computing research.

📥

Data Ingestion

Standardized formats for fungal electrical activity, spike trains, and Physarum network data.

📊

Benchmarking

Compare results across labs with unified metrics for unconventional computing substrates.

🔏

Signatures

Cryptographic verification of experimental data provenance and integrity.

📈

Drift Compensation

Algorithms to normalize biological variability and environmental drift in measurements.

One API Call, Infinite Possibilities

From raw electrode data to standardized signatures in milliseconds.

# Submit fungal electrical activity data
curl -X POST https://api.fungalprotocol.com/v1/ingest   -H "x-api-key: YOUR_API_KEY"   -H "Content-Type: application/json"   -d '{
    "substrate": "Pleurotus_ostreatus",
    "measurement": "electrical_spike_train",
    "data": {
      "timestamps": [0, 2.6, 5.2, 7.8],
      "amplitudes": [0.5, 12.3, 8.7, 15.2],
      "unit": "mV"
    }
  }'

Full documentation at api-docs

What Becomes Possible?

When we can finally read, compare, and control fungal electrical signals at scale...

🏗️ Living Architecture

Buildings that grow, heal, and sense. Mycelium composites that respond to structural stress with electrical signatures—early warning systems encoded in the walls themselves.

"If we can decode their stress responses, buildings could tell us when they need repair."

🌾 Soil Intelligence Network

Global agricultural monitoring through mycelial networks. Real-time soil health, nutrient depletion, pathogen detection—all broadcast via fungal electrical signals.

"Mycelium already connects forests. We just need to listen."

🧬 Biocomputing Substrates

Optimization problems solved in living tissue. Analog computation that runs on glucose, not electricity. Processing that repairs itself and evolves.

"Nature has been computing for billions of years. Silicon is just catching up."

🔬 Xenobiology Protocols

Communication interfaces with truly alien intelligence. If fungi think in electrical patterns, and we can decode those patterns, what conversations become possible?

"The first non-human language we decode might not come from space."