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--- examples:sim_poisson [2015/08/26 23:13] – zenke
+++ examples:sim_poisson [2016/02/04 17:39] (current) – typo zenke
@@ Line 19: / Line 19: @@
 ===== Visualizing the output =====
-Our simulation has written its output (1 second of Poisson spiking from 1000 Poisson neurons firing at 5Hz) to ''poisson.0.ras'', a human-readable [[manual:ras]] file which contains the Poisson spikes. You can peep into the file using a text editor. However, to visualize the  data you need a plotter. I generally like using [[gnuplot]], but any other plotting software which allows reading time series data from columnar ASCII files will do (e.g. [[matplotlib]] in conjunction with [[numpy]]).
+Our simulation has written its output (1 second of Poisson spiking from 1000 Poisson neurons firing at 5Hz) to ''poisson.0.ras'', a human-readable [[manual:ras]] file which contains the Poisson spikes. You can peek into the file using a text editor. However, to visualize the  data you need a plotter. I generally like using [[gnuplot]], but any other plotting software which allows reading time series data from columnar ASCII files will do (e.g. [[matplotlib]] in conjunction with [[numpy]]).
 If you have gnuplot installed you can take a quick peek using the command line
 <code>
@@ Line 54: / Line 54: @@
   --size arg            poisson group size
   --seed arg            random seed
-<code>
+</code>
 As you can see you can easily change a few key parameters of the simulation such as runtime, or the Poisson firing rate. It's always a good idea to export some paramters of your code through command line arguments. How this is done will become clearer in the examples. Things that require less flexibility, such as the structure of your simulation itself will be fixed in the simulation file, which is a file with C++ code. Let's have a look at this code in the present example now.