.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/aeif_cond_beta_multisynapse.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_aeif_cond_beta_multisynapse.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_aeif_cond_beta_multisynapse.py:


Example of an AEIF neuron with multiple synaptic rise and decay time constants
------------------------------------------------------------------------------

.. 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%2Faeif_cond_beta_multisynapse.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.

----


.. GENERATED FROM PYTHON SOURCE LINES 27-60

.. code-block:: Python


    import matplotlib.pyplot as plt
    import nest
    import numpy as np

    neuron = nest.Create("aeif_cond_beta_multisynapse")
    nest.SetStatus(neuron, {"V_peak": 0.0, "a": 4.0, "b": 80.5})
    nest.SetStatus(
        neuron, {"E_rev": [0.0, 0.0, 0.0, -85.0], "tau_decay": [50.0, 20.0, 20.0, 20.0], "tau_rise": [10.0, 10.0, 1.0, 1.0]}
    )

    spike = nest.Create("spike_generator", params={"spike_times": np.array([10.0])})

    voltmeter = nest.Create("voltmeter")

    delays = [1.0, 300.0, 500.0, 700.0]
    w = [1.0, 1.0, 1.0, 1.0]
    for syn in range(4):
        nest.Connect(
            spike,
            neuron,
            syn_spec={"synapse_model": "static_synapse", "receptor_type": 1 + syn, "weight": w[syn], "delay": delays[syn]},
        )

    nest.Connect(voltmeter, neuron)

    nest.Simulate(1000.0)

    Vms = voltmeter.get("events", "V_m")
    ts = voltmeter.get("events", "times")

    plt.plot(ts, Vms)
    plt.show()


.. _sphx_glr_download_auto_examples_aeif_cond_beta_multisynapse.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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