.. DO NOT EDIT.
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.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/vinit_example.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_examples_vinit_example.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_vinit_example.py:


Initial membrane voltage
------------------------

Plot several runs of the ``iaf_cond_exp_sfa_rr`` neuron without input for various
initial values of the membrane potential.

References
~~~~~~~~~~

.. [1] Dayan, P. and Abbott, L.F. (2001) Theoretical neuroscience,
       MIT Press, page 166

.. GENERATED FROM PYTHON SOURCE LINES 38-39

First, the necessary modules for simulation and plotting are imported.

.. GENERATED FROM PYTHON SOURCE LINES 39-44

.. code-block:: default


    import nest
    import numpy
    import matplotlib.pyplot as plt


.. GENERATED FROM PYTHON SOURCE LINES 45-68

A loop runs over a range of initial membrane voltages.

In the beginning of each iteration, the simulation kernel is put back to
its initial state using `ResetKernel`.

Next, a neuron is instantiated with ``Create``. The used neuron model
``iaf_cond_exp_sfa_rr`` is an implementation of a spiking neuron with
integrate-and-fire dynamics, conductance-based synapses, an additional
spike-frequency adaptation and relative refractory mechanisms as described
in [1]_. Incoming spike events induce a postsynaptic change of
conductance  modeled  by an  exponential  function. ``SetStatus`` allows to
assign the initial membrane voltage of the current loop run to the neuron.

``Create`` is used once more to instantiate a ``voltmeter`` as recording device
which is subsequently connected to the neuron with ``Connect``.

Then, a simulation with a duration of 75 ms is started with ``Simulate``.

When the simulation has finished, the recorded times and membrane voltages
are read from the voltmeter via ``get``.

Finally, the time course of the membrane voltages is plotted for each of
the different initial values.

.. GENERATED FROM PYTHON SOURCE LINES 68-86

.. code-block:: default


    for vinit in numpy.arange(-100, -50, 10, float):

        nest.ResetKernel()

        cbn = nest.Create("iaf_cond_exp_sfa_rr")
        cbn.V_m = vinit

        voltmeter = nest.Create("voltmeter")
        nest.Connect(voltmeter, cbn)

        nest.Simulate(75.0)

        t = voltmeter.get("events", "times")
        v = voltmeter.get("events", "V_m")

        plt.plot(t, v, label="initial V_m = %.2f mV" % vinit)


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Set the legend and the labels for the plot outside of the loop.

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.. code-block:: default


    plt.legend(loc=4)
    plt.xlabel("time (ms)")
    plt.ylabel("V_m (mV)")
    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_auto_examples_vinit_example.py:

.. only:: html

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


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

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

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

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


.. only:: html

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

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