Auryn simulator

Simulator for spiking neural networks with synaptic plasticity

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tutorials:tutorial_3 [2016/09/02 04:45] – [Tutorial 3: Balanced network with synaptic plasticity (triplet STDP)] zenketutorials:tutorial_3 [2016/09/02 04:46] – [Speeding up simulations: Parallel execution with MPI] zenke
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 That's it. Save the file and [[manual:compileandrunaurynsimulations|let's compile and run]]! That's it. Save the file and [[manual:compileandrunaurynsimulations|let's compile and run]]!
  
-===== Visualizations =====+ 
 +====== Visualizations ======
  
 As you can see the transition around 10s where we switch plasticity on is quite drastic: As you can see the transition around 10s where we switch plasticity on is quite drastic:
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-===== Speeding up simulations: Parallel execution with MPI ===== 
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-By now you have simulated plastic recurrent spiking neural networks with Auryn. You might have noticed that these simulations have started to be increasingly time consuming. Fortunately, most code can be sped up considerable by running simulations in parallel. This can be done transparently in Auryn. Learn how it's done [[manual:parallel execution|here]]. 
  
  
  
-===== Exercises =====+====== Exercises ======
  
   * Speed up the simulation using parallelism   * Speed up the simulation using parallelism
   * Find a slower tau for which the network activity oscillates or explodes (see for [[http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003330|details]])   * Find a slower tau for which the network activity oscillates or explodes (see for [[http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003330|details]])
   * Add inhibitory synaptic plasticity to this simulation (see [[manual:SymmetricSTDPConnection]])   * Add inhibitory synaptic plasticity to this simulation (see [[manual:SymmetricSTDPConnection]])
tutorials/tutorial_3.txt · Last modified: 2016/09/02 04:46 by zenke