Auryn simulator

Simulator for spiking neural networks with synaptic plasticity

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manual:aube [2016/06/16 17:01] – created zenkemanual:aube [2016/06/16 17:05] – sentence structure zenke
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 ===== Usage examples ===== ===== Usage examples =====
  
-To see how this works let's consider an example. Let's first generate some spiking output using the Vogels Abbott benchmark network witch conductance-based synapses (see [[examples:start]]).+To see how this works let's consider an example. Let's first generate some spiking output using the Vogels Abbott benchmark network with conductance-based synapses (see [[examples:start]]).
 To that end, we use example program ''examples/sim_coba_binmon.cpp'' which will be compiled with Auryn. You find it in your build directory under examples. In this directory, to run the code, just call: To that end, we use example program ''examples/sim_coba_binmon.cpp'' which will be compiled with Auryn. You find it in your build directory under examples. In this directory, to run the code, just call:
 <code> <code>
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 mpirun -n 2 sim_coba_binmon --dir /tmp mpirun -n 2 sim_coba_binmon --dir /tmp
 </code> </code>
-This will run the same simulation using two parallel processes. Because each process writes only the spikes of the neurons it simulates (neurons are distributed across processes), you end up with multiple files ''/tmp/coba.*.e.spk''. After the simulation, however, you would like to merge these spikes to analyze all spikes. +This will run the Vogels Abbott benchmark using two parallel processes. Because each process writes only the spikes of the neurons it simulates (neurons are distributed across processes), you end up with multiple files ''/tmp/coba.*.e.spk''. After the simulation, however, you would like to merge these spikes to analyze all spikes. 
  
 Just call aube on all the input files: Just call aube on all the input files:
manual/aube.txt · Last modified: 2017/04/18 16:22 by zenke