Select NeuroPype Example Pipelines¶
This page contains links to walkthroughs of some of the example pipelines that ship with NeuroPype (found in the examples\ folder of your installation). To view or change the properties of a node in any of these pipelines, double-click the node in Pipeline Designer. Most of these pipelines have the same data input setup, which is described in Data input in the example pipelines.
- Neural oscillatory state classification (motor imagery)
- Neural oscillatory state regression
- Event Related Potential (ERP) classification
- Connectivity estimation
- Saccade-locked EEG ERPs from gaze data (offline)
- Alpha peak frequency and amplitude
- Artifact removal
- Band power (including preprocessing)
- Calibrate on prerecorded data
- Calibrate on streaming data
- Cardiac measures from ECG
- Conditional workflow with exposed parameters
- Cross-validation of a machine learning classifier
- Custom function
- Deep learning: multi-class classification
- ERP analysis of a flanker task (offline data)
- Processing and plotting live gaze data
- Inspect file data
- Spectral power in regions of interest
- Record LSL streams to XDF
- Save data to CSV
- Segment extraction
- Streaming signal quality assessment
- Spectral analysis of a recording (eyes closed vs eyes open)
- Stream prerecorded data and markers
- Time and frequency domain plotting
- fNIRS block average and GLM analysis (offline data)