**Name:**

testsuite::test_iaf_ps_psp_poisson_generator_accuracy - test precise poisson generator input to neuron model

**Synopsis:**

(test_iaf_ps_psp_poisson_generator_accuracy) run -> compare with analytical solution

**Description:**

The tests generates a poisson spike train using the poisson generator

for precise spike times. 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, 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_psp_poisson_accuracy
- testsuite::test_iaf_ps_psp_poisson_spike_accuracy

**Source:**

/home/graber/work-nest/nest-git/nest-simulator/testsuite/unittests/test_iaf_ps_psp_poisson_generator_accuracy.sli