Usage

Each guide is a rendered notebook whose narrative, runnable Python cells, and committed outputs can be read inline on this site. Documentation builds never execute the notebooks.

Path system

Manage file paths for Ephys, MEG/EEG, and VTK data with a unified path API.

Work with VneuroTK paths

Neural data

Build VneuroTK datasets from different recording sources.

Build VneuroTK neural data

Visualization

Plot stimulus timing and neural activity for continuous and epoched recordings with Matplotlib.

Requires the viz extra. This plots recordings; it does not extract DNN image representations.

Visualize neural recordings

DNN vision models and backends

Select and configure supported DNN vision-model backends.

Requires a matching vision extra. Start with Installation to distinguish backend dependencies from viz plotting.

Configure vision models and backends

Standalone DNN vision extraction

Extract visual model features from images without VneuroTK data objects.

Extract vision features from images

Integrated DNN vision extraction

Extract visual features and bind them directly to VneuroTK datasets.

Extract vision features with VneuroTK data