.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/Potjans_2014/stimulus_params.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_Potjans_2014_stimulus_params.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_Potjans_2014_stimulus_params.py:

PyNEST Microcircuit: Stimulus Parameters
-----------------------------------------------

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----

 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%2FPotjans_2014%2Fstimulus_params.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.

----


A dictionary with parameters for an optional external transient stimulation.
Thalamic input and DC input can be switched on individually.

.. GENERATED FROM PYTHON SOURCE LINES 29-65

.. code-block:: Python


    import numpy as np

    stim_dict = {
        # optional thalamic input
        # turn thalamic input on or off (True or False)
        "thalamic_input": False,
        # start of the thalamic input (in ms)
        "th_start": 700.0,
        # duration of the thalamic input (in ms)
        "th_duration": 10.0,
        # rate of the thalamic input (in spikes/s)
        "th_rate": 120.0,
        # number of thalamic neurons
        "num_th_neurons": 902,
        # connection probabilities of the thalamus to the different populations
        # (same order as in 'populations' in 'net_dict')
        "conn_probs_th": np.array([0.0, 0.0, 0.0983, 0.0619, 0.0, 0.0, 0.0512, 0.0196]),
        # mean amplitude of the thalamic postsynaptic potential (in mV),
        # standard deviation will be taken from 'net_dict'
        "PSP_th": 0.15,
        # mean delay of the thalamic input (in ms)
        "delay_th_mean": 1.5,
        # relative standard deviation of the thalamic delay (in ms)
        "delay_th_rel_std": 0.5,
        # optional DC input
        # turn DC input on or off (True or False)
        "dc_input": False,
        # start of the DC input (in ms)
        "dc_start": 650.0,
        # duration of the DC input (in ms)
        "dc_dur": 100.0,
        # amplitude of the DC input (in pA); final amplitude is population-specific
        # and will be obtained by multiplication with 'K_ext'
        "dc_amp": 0.3,
    }


.. _sphx_glr_download_auto_examples_Potjans_2014_stimulus_params.py:

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

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

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

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

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


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

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