**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:**

**Source:**

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