Examples

Work through complete VneuroTK workflows in notebooks that combine explanation and code. Documentation builds render the committed notebooks without executing them; only notebooks that include committed output display saved results.

Neural data

Build and inspect VneuroTK data objects across recording modes and sources.

Core package; sample-backed sections identify additional requirements.

Neural data modes and containers

Visualization

Build a synthetic evoked-response recording, inspect focused windows, and customize returned Matplotlib figures.

Requires the viz extra. Unlike DNN vision extraction, this plots neural recordings and stimulus timing.

Synthetic evoked-response visualization workflow

Path objects

Construct paths for electrophysiology, M/EEG, BIDS, and VneuroTK HDF5 data.

Core path construction; BIDS integration requires the mne extra.

Paths for supported data sources

DNN vision representations

Configure a vision backend, select layers, and extract representations.

Requires the matching vision backend and model assets.

Vision model extraction

Integrated Neurovision workflow

Align NOD-MEG trials with vision-model features and persist the combined recording.

Requires M/EEG and vision extras, model assets, and the separately licensed sample data.

NOD-MEG neurovision workflow