# Command: testsuite::test_iaf_ps_psp_poisson_spike_accuracy

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Name:

    testsuite::test_iaf_ps_psp_poisson_spike_accuracy - test  precise poisson spike input to neuron model

Synopsis:

    (test_iaf_ps_psp_poisson_spike_accuracy) run -> compare with analytical  solution

Description:

      The tests generates a poisson spike train using a random number
      generator and random number distribution available in the SLI
      programming language. In a second step this spike train is supplied to
      a neuron model and the resulting subthreshold membrane potential
      fluctuations are compared to the analytical solution.  Thus, in
      contrast to the more advanced test_iaf_ps_psp_poisson_accuracy, this
      test does not require the interaction of the generator and the neuron
      model to work and does not require the availability of a parrot
      neuron.  In contrast to test_iaf_ps_psp_poisson_accuracy the DC
      required to maintain a subthreshold membrane potential is generated by
      a dc generator not a property of the neuron model.  The
      spike_generator used to supply the neuron model with spikes,
      constraints spike times to the tic grid of the simulation kernel. This
      is the temporal resolution in which the computation step size and
      simulation times are expressed. Therefore, the results of simulations
      at different computation step sizes only differ because of limited
      machine precision.  The difference between the analytical result and
      the simulation, however, is dictated by the number of tics per
      millisecond.

      Author:  May 2005, April 2009 Diesmann

SeeAlso:

- testsuite::test_iaf_ps_psp_poisson_accuracy
- testsuite::test_iaf_ps_psp_poisson_generator_accuracy

Source:

    /opt/conda/conda-bld/nest_1512421404550/work/nest-2.12.0/testsuite/unittests/test_iaf_ps_psp_poisson_spike_accuracy.sli

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