Bernstein Tutorial @ CNS*09 Large-Scale Neuronal Network Models - Principles and Practice

Bernstein Tutorial @ CNS*09Large-Scale NeuronalNetwork ModelsPrinciples and PracticeHans Ekkehard PlesserNorwegian University of Life SciencesSimula Research LaboratoryUPDATED VERSION 12 AUGUST 20091/1Bernstein Tutorial @ CNS*09UPDATED VERSION 12 AUGUST 2009Important update informationI NEST versions 1.9.r8375 and later include the Topologymodule in a more natural way in PyNEST.I The topology module is now initialised byimport nest nest.topology as topotopo.CreateLayer(...)I The following functions are imported fromnest.topography and thus must be prefixed withtopo(or the alias you choose): CreateLayer,ConnectLayer, LayerGidPositionMap,GetRelativeDistance, GetPosition, GetLayer,GetElement, PrintLayerConnectionsI Several bugs are fixed in theht.py implementation of thesimplified Hill-Tononi model. They mostly were caused bynot copying dictionaries correctly.2/1Bernstein Tutorial @ CNS*09UPDATED VERSION 12 AUGUST 2009Outline3/1Bernstein Tutorial @ CNS*09UPDATED VERSION 12 AUGUST 2009ResourcesDownload materialI Available fromhttp://www.nest-initiative.org/index.php/Software:DocumentationI CNS09_Tutorial_Updated.pdf: these slidesI CNS09_Tutorial_Updated_Material.tbz2:archive containingI scripts: scripts discussed hereI htmodel: simplified Hill-Tononi modelI ht.py Python script with embedded commentsI ht.pdf Result frompyreport -l ht.py4/1Bernstein Tutorial @ CNS*09UPDATED VERSION 12 AUGUST 2009Principles5/1Bernstein Tutorial @ ...