# 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.

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:::{grid-item-card} Path system
:link: usage/path
:link-type: doc
Manage file paths for Ephys, MEG/EEG, and VTK data with a unified path API.
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:::{grid-item-card} Neural data
:link: usage/data
:link-type: doc
Build VneuroTK datasets from different recording sources.
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:::{grid-item-card} Visualization
:link: usage/viz
:link-type: doc
Plot stimulus timing and neural activity for continuous and epoched recordings with Matplotlib.
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Requires the `viz` extra. This plots recordings; it does not extract DNN image representations.
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:::{grid-item-card} DNN vision models and backends
:link: usage/vision_models
:link-type: doc
Select and configure supported DNN vision-model backends.
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Requires a matching vision extra. Start with [Installation](installation.md) to distinguish backend dependencies from `viz` plotting.
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:::{grid-item-card} Standalone DNN vision extraction
:link: usage/vision_alone
:link-type: doc
Extract visual model features from images without VneuroTK data objects.
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:::{grid-item-card} Integrated DNN vision extraction
:link: usage/vision_union
:link-type: doc
Extract visual features and bind them directly to VneuroTK datasets.
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