Command: testsuite::test_iaf_ps_dc_t_accuracy

(test_iaf_ps_dc_t_accuracy) run -> comparison with analytical solution


[1] Rotter S & Diesmann M (1999) Exact simulation of time-invariant linear
systems with applications to neuronal modeling. Biologial Cybernetics
[2] 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

A DC current is injected for a finite duration. The time of the first
spike is compared to the theoretical value for different computation
step sizes and interpolation orders.

Computation step sizes are specified as base 2 values.

The high accuracy of the neuron models is achieved by the use of
Exact Integration [1] and an appropriate arrangement of the terms
[2]. For small computation step sizes the accuracy at large
simulation time decreases because of the accumulation of errors.

The expected output is documented at the end of the script.
Individual simulation results can be inspected by uncommented the
call to function print_details.

March 2009 Diesmann

The script checks whether the simulator is appropriately configured.
The script can be used to check whether the accuracy has survived optimization.

In case the accuracy is higher than specified by IEEE arithmetics this might
be due to the use of processor registers. The compiler option
-ffloat-store of the gcc compiler ensures that doubles are not stored in