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.. _general_examples:

Examples Gallery
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   :depth: 3




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Univariate CSC
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    <div class="sphx-glr-thumbcontainer" tooltip="The CSC problem is non-convex. Therefore, the solution depends on the initialization. Here, we show how to select the best atoms amongst different initializations.">

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  .. image:: /auto_examples/csc/images/thumb/sphx_glr_plot_simulate_randomstate_thumb.png
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  :ref:`sphx_glr_auto_examples_csc_plot_simulate_randomstate.py`

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      <div class="sphx-glr-thumbnail-title">Selecting random state for CSC</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Here, we show how CSC can be used to learn spiking atoms from Local Field Potential (LFP) data [1].">

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  .. image:: /auto_examples/csc/images/thumb/sphx_glr_plot_lfp_data_thumb.png
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  :ref:`sphx_glr_auto_examples_csc_plot_lfp_data.py`

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      <div class="sphx-glr-thumbnail-title">CSC to learn LFP spiking atoms</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates how to learn univariate atoms on a univariate time-serie. The data is a single LFP channel recorded on a rodent&#x27;s striatum [1]_. Interestingly in this time-serie, the high frequency oscillations around 80 Hz are modulated in amplitude by the low-frequency oscillation around 3 Hz, a phenomenon known as cross-frequency coupling (CFC).">

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  .. image:: /auto_examples/csc/images/thumb/sphx_glr_plot_cross_frequency_coupling_thumb.png
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  :ref:`sphx_glr_auto_examples_csc_plot_cross_frequency_coupling.py`

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      <div class="sphx-glr-thumbnail-title">Extracting cross-frequency coupling waveforms from rodent LFP data</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates vanilla CSC on simulated data. Note that vanilla CSC is just a special case of alphaCSC with alpha=2.">

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  .. image:: /auto_examples/csc/images/thumb/sphx_glr_plot_simulate_csc_thumb.png
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  :ref:`sphx_glr_auto_examples_csc_plot_simulate_csc.py`

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      <div class="sphx-glr-thumbnail-title">Vanilla CSC on simulated data</div>
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Univariate and Multivariate CSC with 'dicodile' solver
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    <div class="sphx-glr-thumbcontainer" tooltip="Gait (steps) example">

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  .. image:: /auto_examples/dicodile/images/thumb/sphx_glr_plot_gait_thumb.png
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  :ref:`sphx_glr_auto_examples_dicodile_plot_gait.py`

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      <div class="sphx-glr-thumbnail-title">Gait (steps) example</div>
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Multivariate CSC with rank 1 constraints
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    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates how to learn rank-1 atoms [1]_ on the multivariate somato-sensorymotor dataset from mne. The displayed results highlight the presence of \mu-waves located in the SI cortex.">

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  .. image:: /auto_examples/multicsc/images/thumb/sphx_glr_plot_somato_mu_waves_thumb.png
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  :ref:`sphx_glr_auto_examples_multicsc_plot_somato_mu_waves.py`

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      <div class="sphx-glr-thumbnail-title">Extracting \mu-wave from the somato-sensory dataset</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates how to learn rank-1 [1]_ atoms on the multivariate sample dataset from mne. We display a selection of atoms, featuring heartbeat and eyeblink artifacts, two atoms of evoked responses, and a non-sinusoidal oscillation.">

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  .. image:: /auto_examples/multicsc/images/thumb/sphx_glr_sample_evoked_response_dicodile_thumb.png
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  :ref:`sphx_glr_auto_examples_multicsc_sample_evoked_response_dicodile.py`

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      <div class="sphx-glr-thumbnail-title">Extracting artifact and evoked response atoms from the MNE sample dataset</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates how to learn rank-1 [1]_ atoms on the multivariate sample dataset from mne. We display a selection of atoms, featuring heartbeat and eyeblink artifacts, two atoms of evoked responses, and a non-sinusoidal oscillation.">

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  .. image:: /auto_examples/multicsc/images/thumb/sphx_glr_plot_sample_evoked_response_thumb.png
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  :ref:`sphx_glr_auto_examples_multicsc_plot_sample_evoked_response.py`

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      <div class="sphx-glr-thumbnail-title">Extracting artifact and evoked response atoms from the sample dataset</div>
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Univariate CSC with an alpha-stable distribution
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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates alphaCSC [1]_ on simulated data.">

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  .. image:: /auto_examples/noise_alpha/images/thumb/sphx_glr_plot_simulate_alphacsc_thumb.png
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  :ref:`sphx_glr_auto_examples_noise_alpha_plot_simulate_alphacsc.py`

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      <div class="sphx-glr-thumbnail-title">Alpha CSC on simulated data</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates how to learn univariate atoms on a univariate time-serie affected by strong artifacts. The data is a single LFP channel recorded on a rodent&#x27;s striatum [1]_. Interestingly in this time-serie, the high frequency oscillations around 80 Hz are modulated in amplitude by the low-frequency oscillation around 3 Hz, a phenomenon known as cross-frequency coupling (CFC).">

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  .. image:: /auto_examples/noise_alpha/images/thumb/sphx_glr_plot_empirical_strong_artifacts_thumb.png
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  :ref:`sphx_glr_auto_examples_noise_alpha_plot_empirical_strong_artifacts.py`

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      <div class="sphx-glr-thumbnail-title">Alpha CSC on empirical time-series with strong artifacts</div>
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Other shift-invariant dictionary learning algorithms
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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates MoTIF [1] on simulated data. In the alphacsc module, we are offering all the alternatives for the users to try. Please cite our paper [2] if you use this implementation.">

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  .. image:: /auto_examples/other/images/thumb/sphx_glr_plot_simulate_motif_thumb.png
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  :ref:`sphx_glr_auto_examples_other_plot_simulate_motif.py`

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      <div class="sphx-glr-thumbnail-title">MoTIF on simulated data</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how the sliding window method (SWM) [1] works on simulated data. The code is adapted from the neurodsp package from Voytek lab. Note that, at present, it does not implement parallel tempering.">

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  .. image:: /auto_examples/other/images/thumb/sphx_glr_plot_simulate_swm_thumb.png
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  :ref:`sphx_glr_auto_examples_other_plot_simulate_swm.py`

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      <div class="sphx-glr-thumbnail-title">SWM on simulated data</div>
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.. toctree::
   :hidden:
   :includehidden:


   /auto_examples/csc/index.rst
   /auto_examples/dicodile/index.rst
   /auto_examples/multicsc/index.rst
   /auto_examples/noise_alpha/index.rst
   /auto_examples/other/index.rst


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      :download:`Download all examples in Python source code: auto_examples_python.zip </auto_examples/auto_examples_python.zip>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </auto_examples/auto_examples_jupyter.zip>`


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