ClassifyIndependentComponents¶
Classify independent components using a component classifier.
This categorizes components previously generated by an ICA node such as InfomaxICA into categories such as brain, eye, etc. This node should be used with the following workflow: 1) optional artifact removal (highpass, etc.); if a line-noise removal filter is used, it must be narrow-band (e.g., 1 Hz). 2) Common average reference. 3) ICA. 4) This node. Version 0.2.0
Ports/Properties¶
data¶
Data to process.
- verbose name: Data
- default value: None
- port type: DataPort
- value type: Packet (can be None)
- data direction: INOUT
classifier¶
Classifier to use. Currently, only ICLabel is supported. This appends an additional field to the space axis of the data named 'labels', which has the component classification labels in it. These labels fall into categories such as 'brain', 'muscle', etc.
- verbose name: Classifier
- default value: ICLabel
- port type: EnumPort
- value type: str (can be None)
ensemble_size¶
Number of classifiers to use in the ensemble. This is only used if the classifier is ICLabel. The default is the maximum of 6, but a smaller number can be chosen to reduce the compute cost.
- verbose name: Ensemble Size
- default value: 6
- port type: IntPort
- value type: int (can be None)
set_breakpoint¶
Set a breakpoint on this node. If this is enabled, your debugger (if one is attached) will trigger a breakpoint.
- verbose name: Set Breakpoint (Debug Only)
- default value: False
- port type: BoolPort
- value type: bool (can be None)
metadata¶
User-definable meta-data associated with the node. Usually reserved for technical purposes.
- verbose name: Metadata
- default value: {}
- port type: DictPort
- value type: dict (can be None)