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From Measurement to Comparison

1

Observe

The live monitor shows the measurement signals from multiple channels and the current system status.

2

Assign Environmental Conditions

Environmental conditions such as soil and air temperature, humidity, CO₂, signal quality and measurement time can be recorded for each measurement. This allows changes in electrical activity to be compared with the documented conditions.

BioComm environmental data view for four nodes
3

Document

The measurement log records conditions and observations — for example substrate, organism studied, data source, anomalies and additional notes.

BioComm signal diary: new measurement entry and log table
4

Compare Patterns

The software can visualize spatial and temporal patterns and describe them using metrics such as symmetry, coherence and propagation. Such patterns can provide leads for further investigation, but are not proof of biological communication.

BioComm spatial map: interference pattern and pattern metrics
5

Provisionally Classify and Test Patterns

Analysis models can group similar signal patterns into provisional clusters and indicate how confident a classification is. These groups are working hypotheses. Whether they have biological meaning must be independently verified.

BioComm AI status: signal class distribution, confidence and reward history
6

Apply Targeted Stimuli

Defined electrical stimuli can be set and documented for experiments. It can then be measured whether a change occurs relative to the baseline state.

BioComm stimulation: defined electrical parameters — waveform, amplitude, frequency, pulse width, channel selection, repetitions
7

Measure Again

After a defined stimulus, a new measurement is taken and compared with the prior state.

8

Compare and Document

Stimulus, measurement conditions, observed change and analysis are documented together so the trial remains traceable and repeatable.

More Than Electrical Stimuli

BioComm is not designed for electrical stimuli alone. Optical stimuli and vibration can also be set up as defined experimental parameters. Before any stimulation is carried out, the software checks the defined safety limits.

BioComm multimodal stimulation: vibration stimulation, optical stimulation, safety check, stimulus history ✓ Safety check active before every stimulation

A Pattern Is Not Yet an Explanation

BioComm can display measurement signals, compare patterns and contrast results from different conditions. This does not yet amount to a biological explanation. Provisional signal classes and model outputs remain working hypotheses until they can be verified through repeatable observations and documented experiments.

The Next Step: A Learning Feedback Loop

Current status: simulation and functional testing — autonomous closed loop not yet implemented.
Measure → Assign conditions → Compare patterns → Apply targeted stimulus → Measure again → Compare → Learn → Repeat

Parts of this process are already implemented in the software and can be tested in simulation and testing mode. The connection to field hardware is being prepared. An autonomous closed loop, in which the system learns from measurements and adjusts its next steps independently, is a later development step.

Current development status

Software interfaceImplemented
Simulation environmentActive
Hardware integrationIn preparation
Field validationPending
Autonomous closed loopPlanned