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ignore_and_fire | ||
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ignore_and_fire - Neuron generating spikes at fixed intervals irrespective of inputs | ||
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Description | ||
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The ``ignore_and_fire`` neuron is a neuron model generating spikes at a predefined ``firing_rate`` with a constant inter-spike interval ("fire"), irrespective of its inputs ("ignore"). In this simplest version of the ``ignore_and_fire`` neuron, the inputs from other neurons or devices are not processed at all (*). The ``ignore_and_fire`` neuron is primarily used for neuronal-network model verification and validation purposes, in particular, to evaluate the correctness and performance of connectivity generation and inter-neuron communication. It permits an easy scaling of the network size and/or connectivity without affecting the output spike statistics. The amount of network traffic is predefined by the user, and therefore fully controllable and predictable, irrespective of the network size and structure. | ||
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To create asynchronous activity for a population of ``ignore_and_fire`` neurons, the firing ``phase``s can be randomly initialised. Note that the firing ``phase`` is a real number, defined as the time to the next spike relative to the firing period. | ||
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(*) The model can easily be extended and equipped with any arbitrary input processing (such as calculating input currents with alpha-function shaped PSC kernels or updating the gating variables in the Hodgkin-Huxley model) or (after-) spike generation dynamics to make it more similar and comparable to other non-ignorant neuron models. In such extended ignore_and_fire models, the spike emission process would still be decoupled from the intrinsic neuron dynamics. | ||
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Authors | ||
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Tetzlaff (February 2021; January 2022) | ||
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Parameters | ||
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.. csv-table:: | ||
:header: "Name", "Physical unit", "Default value", "Description" | ||
:widths: auto | ||
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"firing_rate", "Bq", "10.0Bq", "# firing rate" | ||
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State variables | ||
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.. csv-table:: | ||
:header: "Name", "Physical unit", "Default value", "Description" | ||
:widths: auto | ||
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"phase", "real", "1.0", "# relative time to next spike (in (0,1])" | ||
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Equations | ||
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Source code | ||
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The model source code can be found in the NESTML models repository here: `ignore_and_fire <https://github.com/nest/nestml/tree/master/models/neurons/ignore_and_fire.nestml>`_. | ||
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Characterisation | ||
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.. include:: ignore_and_fire_characterisation.rst | ||
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.. footer:: | ||
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Generated at 2023-08-08 15:01:40.284515 |
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doc/tutorials/active_dendrite/nestml_active_dendrite_tutorial.ipynb
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doc/tutorials/izhikevich/nestml_izhikevich_tutorial.ipynb
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