Auryn simulator

Simulator for spiking neural networks with synaptic plasticity

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tutorials:start

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Tutorials

Auryn comes with a variety of neuron and plasticity models (see manual). However, in most cases you will want to use and simulate your own models. Auryn is written in a modular way which greatly simplifies the process of creating your own neuron models (NeuronGroup), synapse and plasticity models (Connection) and devices or tools to interact with the simulation. In this section we will slowly build several example walk-throughs of how to achieve this in a step-by-step manner.

Starting out with off the shelf models

First see how to compile and run your own Auryn simulations.

  • See quick start for a few first examples
  • Tutorial 1: Simulate a single AdEx neuron and record spikes and membrane potentials.
  • Tutorial 2: A simple balanced network model.
  • Tutorial 3: A network model with inhibitory plasticity.

Advanced techniques: Extending the Auryn model corpus

  • Writing your own plasticity model. This is a simple walk-through for the logic behind plastic updates and what methods are called where and when. It sketches in simple terms what needs to be done to implement a new custom synapse model in Auryn.
  • Multiple synaptic state variables. This example aims at creating a plastic connection object in which the the actual weight change is the low-pass filtered output of meta-variable which is influenced by STDP.
  • Neuron Models: Coming soon.
tutorials/start.1472772138.txt.gz · Last modified: 2016/09/01 23:22 by zenke