Auryn simulator

Simulator for spiking neural networks with synaptic plasticity

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manual:connections_and_plasticity [2018/02/07 09:51] (current)
zenke created
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 +===== Connections and plasticity ​ =====
 +In many cases you will want to connect at least some of your populations with random sparse connectivity. To do so you simply instantiate an object of type [[SparseConnection]] which does exactly that. [[SparseConnection]] comes with a set of tools to directly add Hebbian assemblies or other simple structures into the synaptic weight matrix. However, if you want even more structure [[SparseConnection]] can import MatrixMarket files, which conveniently allows you to build complicated connectivity structures in MATLAB or Python and then load them into your simulation.
 +If you want to simulate plastic synapses simply use a Connection object of type [[STPDConnection]] or for instance [[TripletConnection]] for triplet STDP (after Pfister and Gerstner). You want short-term plasticity instead, then [[STPConnection]] is for you. It implements the Tsodyks-Markram model. You want to define arbitrarily shaped STDP windows and do not care about all-to-all spike interactions?​ Use [[PairInteractionConnection]]. In most cases you will want to write your own plasticity model -- have a look at this tutorial which will help you to get started [[tutorials:​writing_your_own_plasticity_model]].
manual/connections_and_plasticity.txt ยท Last modified: 2018/02/07 09:51 by zenke