Struktura kodu

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http://www.neuron.yale.edu/ftp/neuron/contrib/obidos_tutorials/

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Struktura kodu

//==============================================================================

//

// simulation of recurrent networks of simple IAF neurons (placed on a regular lattice, randomly connected) // Based on example 7 from tutorial by M. Rudolph

// Advanced Course in Computational Neuroscience Obidos, Portugal, 2004 //

//==============================================================================

//--- general simulation settings--- dt = 0.1

tstart = 0 tstop = 100

// ---procedure for adding graphs--- load_file("addGraphs.hoc")

//---creating cells--- load_file("createCells.hoc")

//---creating network--- load_file("createNetwork.hoc")

//---adding network input--- load_file("addNetworkInput.hoc")

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Struktura kodu

// --- initialization--- proc init() {

finitialize() fcurrent() }

//---access origin of network--- access neuron[0].soma

//---adding graphs--- addgraph("neuron[0].IAF.M", -2, 3)

addgraph("neuron[1].IAF.M”, -2, 3)

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Struktura kodu

//modify step() procedure from stdrun.hoc

proc step() { local i //integrates one step needed for plotting, it may integrate over many dt time steps for i=1, nstep_steprun { advance() }

Plot() //iterates over all the Graphs in the various plot lists //that need to be updated during a simulation run // to allow ShapePlots for network activity

for i=0, NumberCells-1 {

neuron[i].soma.v(0.5) = neuron[i].IAF.M }

}

//---recording data for rasterplot--- load_file("record.hoc")

//---running simulation--- proc go() {

init()

run() //procedure from stdrun.hoc plotraster()

}