Crate ruv_neural_decoder 

rUv Neural Decoder – Cognitive state classification and BCI decoding from neural topology embeddings.

This crate provides multiple decoding strategies for classifying cognitive states from brain graph embeddings and topology metrics:

• KNN Decoder: K-nearest neighbor classification using stored labeled embeddings
• Threshold Decoder: Rule-based classification from topology metric ranges
• Transition Decoder: State transition detection from topology dynamics
• Clinical Scorer: Biomarker detection via deviation from healthy baselines
• Pipeline: End-to-end ensemble decoder combining all strategies

Re-exports

pub use clinical::ClinicalScorer;

pub use knn_decoder::KnnDecoder;

pub use pipeline::DecoderOutput;

pub use pipeline::DecoderPipeline;

pub use threshold_decoder::ThresholdDecoder;

pub use threshold_decoder::TopologyThreshold;

pub use transition_decoder::StateTransition;

pub use transition_decoder::TransitionDecoder;

pub use transition_decoder::TransitionPattern;

Modules

clinical

Clinical biomarker detection from brain topology deviations.

knn_decoder

K-Nearest Neighbor decoder for cognitive state classification.

pipeline

End-to-end decoder pipeline combining multiple decoding strategies.

threshold_decoder

Threshold-based topology decoder for cognitive state classification.

transition_decoder

Transition decoder for detecting cognitive state changes from topology dynamics.