# Command: testsuite::test_iaf_ps_psp_poisson_accuracy

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Name:

    testsuite::test_iaf_ps_psp_poisson_accuracy - probes interaction of precise poisson generator and neuron model

Synopsis:

    (test_iaf_ps_psp_poisson_accuracy) run -> compare with analytical result

Description:

      The test probes the interaction of a spike generator implementing a
      poisson process in continuous time with a neuron model capable of
      handling off-grid spike times. The result is verified by comparing the
      superposition of post-synaptic potentials in the neuron model to the
      the corresonding analytical solution. To achieve this, spike
      generation of the neuron mode is prevented by setting the spike
      threshold to a very high value. The test employs the parrot neuron for
      precise spike times to provide the neuron model and the spike detector
      with an identical sequence of spike times. The independence of the
      result from the computations step size is ensured by comparing the
      results for a range of temporal resolutions. Due to this setup the
      test requires that several critical timing relations between network
      nodes of different types operate correctly. If the test fails go back
      to simpler tests verifying individual node types.

      Author:  May 2005, February 2008, March 2009; Diesmann

References:

      [1] Morrison A, Straube S, Plesser H E, & Diesmann M (2007) Exact Subthreshold
      Integration with Continuous Spike Times in Discrete Time Neural Network
      Simulations. Neural Computation 19:47--79

SeeAlso:

- testsuite::test_iaf_ps_psp_accuracy
- testsuite::test_iaf_ps_dc_accuracy

Source:

    /opt/conda/conda-bld/nest_1510212701067/work/nest-2.14.0/testsuite/unittests/test_iaf_ps_psp_poisson_accuracy.sli

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