.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/spatial/nodes_source_target.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_spatial_nodes_source_target.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_spatial_nodes_source_target.py:


Spatial networks: Showcase of PlotTargets, PlotSources, GetTargetNodes, GetSourceNodes
--------------------------------------------------------------------------------------

.. only:: html

----

 Run this example as a Jupyter notebook:

  .. card::
    :width: 25%
    :margin: 2
    :text-align: center
    :link: https://lab.ebrains.eu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fnest%2Fnest-simulator-examples&urlpath=lab%2Ftree%2Fnest-simulator-examples%2Fnotebooks%2Fnotebooks%2Fspatial%2Fnodes_source_target.ipynb&branch=main
    :link-alt: JupyterHub service

    .. image:: https://nest-simulator.org/TryItOnEBRAINS.png


.. grid:: 1 1 1 1
   :padding: 0 0 2 0

   .. grid-item::
     :class: sd-text-muted
     :margin: 0 0 3 0
     :padding: 0 0 3 0
     :columns: 4

     See :ref:`our guide <run_jupyter>` for more information and troubleshooting.

----


Anno Christopher Kurth, INM-6

.. GENERATED FROM PYTHON SOURCE LINES 28-71

.. code-block:: Python


    import nest
    from matplotlib import pyplot as plt

    # create a spatial population
    s_nodes = nest.Create("iaf_psc_alpha", positions=nest.spatial.grid(shape=[11, 11], extent=[11.0, 11.0]))
    # connectivity specifications with a mask
    conndict = {
        "rule": "pairwise_bernoulli",
        "p": 1.0,
        "mask": {"rectangular": {"lower_left": [-1.0, -1.0], "upper_right": [1.0, 1.0]}, "anchor": [3.0, 3.0]},
    }

    # get center element
    center_neuron = nest.FindCenterElement(s_nodes)

    # connect population s_nodes with itself according to the given
    # specifications
    nest.Connect(s_nodes, s_nodes, conndict)

    # Plot target neurons of center neuron
    fig = nest.PlotLayer(s_nodes, nodesize=80, nodecolor="coral")
    nest.PlotTargets(center_neuron, s_nodes, fig=fig)
    plt.title("Target neurons of center neuron")
    plt.show()

    # Plot source neurons of center neuron
    fig = nest.PlotLayer(s_nodes, nodesize=80, nodecolor="coral")
    nest.PlotSources(s_nodes, center_neuron, fig=fig)
    plt.title("Source neurons of center neuron")
    plt.show()

    print("Target neurons of center neuron")
    print(nest.GetTargetNodes(center_neuron, s_nodes))

    print("Source neurons of center neuron")
    print(nest.GetSourceNodes(s_nodes, center_neuron))

    print("Positions of target neurons of center neuron")
    print(nest.GetTargetPositions(center_neuron, s_nodes))

    print("Positions of source neurons of center neuron")
    print(nest.GetSourcePositions(s_nodes, center_neuron))


.. _sphx_glr_download_auto_examples_spatial_nodes_source_target.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

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

      :download:`Download Jupyter notebook: nodes_source_target.ipynb <nodes_source_target.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: nodes_source_target.py <nodes_source_target.py>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_