# Command: testsuite::test_spike_poisson_ps_base2.sli

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Synopsis:

    (test_spike_poisson_ps_base2) run

Description:

      In NEST spike times are represented by an integer part in units of h
      and an offset in units of milliseconds. This helps to maintain a
      uniform absolute accuracy of spike times even for long simulation
      times.

      The user has access to the two components of the spike if the spike
      detector is set to
      /time_in_steps true  /precise_times true .
      In thie case the spike detector returns events with the properties
      /times and /offsets, where /times are the integer parts s in units of h
      and offsets are the fractional parts o in milliseconds. According to
      NEST's definition of a grid-constrained spike as a spike occuring
      somewhere in (t-h,t], the precise spike time is
      t = s*h	- o

      Access to spike times with a uniform absolute accuracy is benefitial
      when testing and comparing integrators for neuron models, see appendix
      A.2 of [1] for details.

      This script tests whether the accuracy of spike times is maintained
      independent of the choice of computation step size h.

      This assumes that also the poisson generator is capable of maintaining
      the accuracy independent of computation step size.
      If this test fails go back to
      test_spike_poisson_ps.sli
      to check whether poisson_generator_ps can emit spike times at double
      precision or whether spike times are limited to the precision of a
      tic.

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

Author:

    May 2010, adapted to NEST2, Diesmann

SeeAlso:

- testsuite::test_spike_poisson_ps

Source:

    /opt/conda/conda-bld/nest_1510213973486/work/nest-2.14.0/testsuite/unittests/test_spike_poisson_ps_base2.sli

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