User guide ========== :::{card} Getting started ```{toctree} :maxdepth: 3 Introduction to pynapple ``` ::: :::{card} Input-output ```{toctree} Input-output & lazy-loading ``` ::: :::{card} Core methods ```{toctree} Interaction with numpy ``` ```{toctree} Core methods ``` ```{toctree} Metadata ``` ::: :::{card} High-level analysis ```{toctree} :maxdepth: 2 Correlograms & ISI ``` ```{toctree} :maxdepth: 2 Tuning curves ``` ```{toctree} :maxdepth: 2 Decoding ``` ```{toctree} :maxdepth: 2 Perievent / Spike-triggered average ``` ```{toctree} :maxdepth: 2 Randomization ``` ```{toctree} :maxdepth: 2 Power spectral density ``` ```{toctree} :maxdepth: 2 Wavelet decomposion ``` ```{toctree} :maxdepth: 2 Filtering time series ``` ```{toctree} :maxdepth: 2 Extracting phases and envelopes ``` ```{toctree} :maxdepth: 2 Building trial-based tensors ``` :::