:orphan:
.. _sphx_glr_auto_examples:
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`_, and reproduce a subset of examples and figures in the
more elaborated GUI tutorials using the HNN-core API.
We strongly recommend that you
first go through the background information provided on the `HNN website
`_ and each of the HNN GUI tutorials,
after which the code and instructions in these HNN-core tutorials will be clearer.
All tutorials build from our prior publications investigating the origin of ERPs and
brain rhythms in the somatosensory system, and parameter and data sets are provided to
help users get started.
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.. figure:: /auto_examples/workflows/images/thumb/sphx_glr_plot_simulate_evoked_thumb.png
:alt: 01. Simulate Event Related Potentials (ERPs)
:ref:`sphx_glr_auto_examples_workflows_plot_simulate_evoked.py`
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.. toctree::
:hidden:
/auto_examples/workflows/plot_simulate_evoked
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.. figure:: /auto_examples/workflows/images/thumb/sphx_glr_plot_simulate_alpha_thumb.png
:alt: 02. Simulate Alpha and Beta Rhythms
:ref:`sphx_glr_auto_examples_workflows_plot_simulate_alpha.py`
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.. toctree::
:hidden:
/auto_examples/workflows/plot_simulate_alpha
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.. figure:: /auto_examples/workflows/images/thumb/sphx_glr_plot_simulate_gamma_thumb.png
:alt: 03. Simulate Gamma Rhythms
:ref:`sphx_glr_auto_examples_workflows_plot_simulate_gamma.py`
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.. toctree::
:hidden:
/auto_examples/workflows/plot_simulate_gamma
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.. figure:: /auto_examples/workflows/images/thumb/sphx_glr_plot_simulate_somato_thumb.png
:alt: 04. From MEG sensor-space data to HNN simulation
:ref:`sphx_glr_auto_examples_workflows_plot_simulate_somato.py`
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.. toctree::
:hidden:
/auto_examples/workflows/plot_simulate_somato
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.. figure:: /auto_examples/workflows/images/thumb/sphx_glr_plot_simulate_beta_thumb.png
:alt: 05. Simulate beta modulated ERP
:ref:`sphx_glr_auto_examples_workflows_plot_simulate_beta.py`
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.. toctree::
:hidden:
/auto_examples/workflows/plot_simulate_beta
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.. _sphx_glr_auto_examples_howto:
How to
------
These are short examples that show how to use HNN-core API to accomplish specific
tasks.
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.. figure:: /auto_examples/howto/images/thumb/sphx_glr_plot_firing_pattern_thumb.png
:alt: 01. Plot firing pattern
:ref:`sphx_glr_auto_examples_howto_plot_firing_pattern.py`
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.. toctree::
:hidden:
/auto_examples/howto/plot_firing_pattern
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.. figure:: /auto_examples/howto/images/thumb/sphx_glr_plot_record_extracellular_potentials_thumb.png
:alt: 02. Record extracellular potentials
:ref:`sphx_glr_auto_examples_howto_plot_record_extracellular_potentials.py`
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.. toctree::
:hidden:
/auto_examples/howto/plot_record_extracellular_potentials
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.. figure:: /auto_examples/howto/images/thumb/sphx_glr_plot_connectivity_thumb.png
:alt: 03. Modifying local connectivity
:ref:`sphx_glr_auto_examples_howto_plot_connectivity.py`
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.. toctree::
:hidden:
/auto_examples/howto/plot_connectivity
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.. figure:: /auto_examples/howto/images/thumb/sphx_glr_plot_simulate_mpi_backend_thumb.png
:alt: 04. Use MPI backend for parallelization
:ref:`sphx_glr_auto_examples_howto_plot_simulate_mpi_backend.py`
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.. toctree::
:hidden:
/auto_examples/howto/plot_simulate_mpi_backend
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.. figure:: /auto_examples/howto/images/thumb/sphx_glr_plot_optimize_evoked_thumb.png
:alt: 05. Optimize simulated evoked response parameters
:ref:`sphx_glr_auto_examples_howto_plot_optimize_evoked.py`
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.. toctree::
:hidden:
/auto_examples/howto/plot_optimize_evoked
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.. container:: sphx-glr-footer
:class: sphx-glr-footer-gallery
.. container:: sphx-glr-download sphx-glr-download-python
:download:`Download all examples in Python source code: auto_examples_python.zip `
.. container:: sphx-glr-download sphx-glr-download-jupyter
:download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip `
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.. rst-class:: sphx-glr-signature
`Gallery generated by Sphinx-Gallery `_