SYNOMORPH

RESEARCH / METHODS

From anatomical data to embodied action.

Every executable system needs explicit source data, assumptions, dynamics, interfaces, evaluation, and limitations.

METHOD LAYERS

Source datasets

Record source, institution, version, publication, license, and permitted use.

Graph preprocessing

Document transformations from source structure to executable representation.

Neuron model

State the mathematical model and where it departs from biology.

Encoder

Map sensory or synthetic input into explicit system signals.

Decoder

Translate network state into interpretable values or control actions.

Embodiment layer

Connect outputs through a versioned virtual, robotics, or software adapter.

Task gate

Distinguish known work from new, uncertain, changed, or failed situations.

Trajectory distillation

Transform verified successful reasoning into a versioned skill, policy, or procedure.

Procedural memory

Retrieve, execute, verify, update, and audit reusable behavior without changing foundation-model weights.

Evaluation

Define tasks, baselines, metrics, and repeatability before making claims.

Limitations

Keep unsupported biological fidelity and generalization claims out of results.