Module classifiers 

First-class genome classifier assembly.

Classifiers are stored under the top-level genome key classifiers, parallel to brain_regions. A classifier is not a brain region and is not exportable as a circuit. It records the assembly’s properties, owned internals, and referenced input areas so neuroembryogenesis and area/mapping edits stay aligned.

Each field binding is one Classifier mapping: an interconnect area scanning the shared kernel memory, with its own detection twin.

Structs

Classifier

First-class classifier record persisted in the genome.

ClassifierField

One field area scanning this classifier, and the twin that shows its detections.

ClassifierMapping

Directed mapping owned by a classifier assembly.

Enums

ClassifierTrainingMode

How a classifier learns. Recall uses the same kernel geometry as training.

Constants

CLASSIFIER_ASSOCIATIVE_MORPHOLOGY

Morphology used for kernel-memory → class-memory bind.

CLASSIFIER_CLASS_MORPHOLOGY

Morphology used for class → class-memory encode.

CLASSIFIER_KERNEL_MORPHOLOGY

Morphology used for kernel → kernel-memory encode.

CLASSIFIER_SCAN_MORPHOLOGY

Morphology used for field → kernel-memory scan.

Functions

validate_kernel_size

Every kernel axis must be at least one voxel.

validate_scanner_field

Scanner kernel Z matches the image depth, and the mask shares the image’s width and height.