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

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

.. _sphx_glr_auto_examples_one_neuron_with_noise.py:


One neuron with noise
---------------------

.. 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%2Fone_neuron_with_noise.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.

----


This script simulates a neuron with input from the ``poisson_generator``, and
records the neuron's membrane potential.

.. GENERATED FROM PYTHON SOURCE LINES 32-39

First, we import all necessary modules needed to simulate, analyze and
plot our example. Additionally, we set the verbosity to only show warnings
and reset the kernel.
Resetting the kernel removes any nodes we may have created previously and
resets the internal clock to zero. This allows us to execute the script
several times in a Python shell without interference from previous NEST
simulations.

.. GENERATED FROM PYTHON SOURCE LINES 39-47

.. code-block:: Python


    import matplotlib.pyplot as plt
    import nest
    import nest.voltage_trace

    nest.verbosity = nest.VerbosityLevel.WARNING
    nest.ResetKernel()


.. GENERATED FROM PYTHON SOURCE LINES 48-51

Second, the nodes (the neuron, poisson generator (two of them), and the
voltmeter) are created using  the ``Create`` function.
We store the returned handles in variables for later reference.

.. GENERATED FROM PYTHON SOURCE LINES 51-56

.. code-block:: Python


    neuron = nest.Create("iaf_psc_alpha")
    noise = nest.Create("poisson_generator", 2)
    voltmeter = nest.Create("voltmeter")


.. GENERATED FROM PYTHON SOURCE LINES 57-61

Third, the rates of the Poisson generator are configured. We set the
generators to 80,000 Hz and 15,000 Hz, respectively. Note that we do
not need to set parameters for the neuron and the voltmeter, since
they have satisfactory defaults.

.. GENERATED FROM PYTHON SOURCE LINES 61-65

.. code-block:: Python


    noise[0].rate = 80000.0
    noise[1].rate = 15000.0


.. GENERATED FROM PYTHON SOURCE LINES 66-68

Fourth, the neuron is connected to the ``poisson_generator`` and to the
``voltmeter``. We also specify the synaptic weight and delay in this step.

.. GENERATED FROM PYTHON SOURCE LINES 68-72

.. code-block:: Python


    nest.Connect(noise, neuron, syn_spec={"weight": [[1.2, -1.0]], "delay": 1.0})
    nest.Connect(voltmeter, neuron)


.. GENERATED FROM PYTHON SOURCE LINES 73-75

Now we simulate the network using ``Simulate``, which takes the
desired simulation time in milliseconds.

.. GENERATED FROM PYTHON SOURCE LINES 75-78

.. code-block:: Python


    nest.Simulate(1000.0)


.. GENERATED FROM PYTHON SOURCE LINES 79-81

Finally, we plot the neuron's membrane potential as a function of
time.

.. GENERATED FROM PYTHON SOURCE LINES 81-84

.. code-block:: Python


    nest.voltage_trace.from_device(voltmeter)
    plt.show()


.. _sphx_glr_download_auto_examples_one_neuron_with_noise.py:

.. only:: html

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

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

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: one_neuron_with_noise.zip <one_neuron_with_noise.zip>`


.. only:: html

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

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