////////////////////////////////////////////////////////////////////////// // // Johannes Hjorth, june 2005 // hjorth@nada.kth.se // Sriraman Damodaran, september 2010 // FScell.g - Creates a fast spiking neuron in the library // ////////////////////////////////////////////////////////////////////////// // // make_FS_cell -- Creates the library template for a FS-neuron // ////////////////////////////////////////////////////////////////////////// str fsLibraryPath = "/library/fs" ////////////////////////////////////////////////////////////////////////// function make_FS_cell (cellpath,pfile) readcell {pfile} {cellpath} // Number of inputs to each compartmenttype addfield {cellpath} somaDensityAMPA addfield {cellpath} somaDensityNMDA addfield {cellpath} somaDensityGABA addfield {cellpath} primDensityAMPA addfield {cellpath} primDensityNMDA addfield {cellpath} primDensityGABA addfield {cellpath} secDensityAMPA addfield {cellpath} secDensityNMDA addfield {cellpath} secDensityGABA addfield {cellpath} tertDensityAMPA addfield {cellpath} tertDensityNMDA addfield {cellpath} tertDensityGABA // Weights of each input addfield {cellpath} somaWeightAMPA addfield {cellpath} somaWeightNMDA addfield {cellpath} somaWeightGABA addfield {cellpath} primWeightAMPA addfield {cellpath} primWeightNMDA addfield {cellpath} primWeightGABA addfield {cellpath} secWeightAMPA addfield {cellpath} secWeightNMDA addfield {cellpath} secWeightGABA addfield {cellpath} tertWeightAMPA addfield {cellpath} tertWeightNMDA addfield {cellpath} tertWeightGABA // Set default values for densities setfield {cellpath} somaDensityAMPA 1 setfield {cellpath} somaDensityNMDA 1 setfield {cellpath} somaDensityGABA 3 setfield {cellpath} primDensityAMPA 1 setfield {cellpath} primDensityNMDA 1 setfield {cellpath} primDensityGABA 3 setfield {cellpath} secDensityAMPA 1 setfield {cellpath} secDensityNMDA 1 setfield {cellpath} secDensityGABA 3 setfield {cellpath} tertDensityAMPA 1 setfield {cellpath} tertDensityNMDA 1 setfield {cellpath} tertDensityGABA 0 // Set default values for synapse weights setfield {cellpath} somaWeightAMPA 1.0 setfield {cellpath} somaWeightNMDA 1.0 setfield {cellpath} somaWeightGABA 1.0 setfield {cellpath} primWeightAMPA 1.0 setfield {cellpath} primWeightNMDA 1.0 setfield {cellpath} primWeightGABA 1.0 setfield {cellpath} secWeightAMPA 1.0 setfield {cellpath} secWeightNMDA 1.0 setfield {cellpath} secWeightGABA 1.0 setfield {cellpath} tertWeightAMPA 1.0 setfield {cellpath} tertWeightNMDA 1.0 setfield {cellpath} tertWeightGABA 1.0 end ////////////////////////////////////////////////////////////////////////// //************************ Begin Primary Routine ****************************** //***************************************************************************** //************************ Begin function make_MS_cell ********************* //************************************************************************** function make_MS_cell (cellpath,pfile) str cellpath,pfile echo {cellpath} // function make_MS_cell is the first call from the primary file (MSsim.g). // Note that the first thing it does is to call make_protypes in proto.g. // These prototypes must be made before the call to add_channels. When the // function add_channels is modified (as in msv4.0) to no longer add // certain channels (such as K13, KRPI & KRPII), then the respective // make_prototypes calls (i.e. make_KRPII_channel should be deleted as // dead code. That is to say that only those channels shown in add_channels // (above) should have a make prototype in function make_prototypes in // proto.g make_prototypes // see proto.g // readcell {pfile} {cellpath} -hsolve // see MScell.g readcell {pfile} {cellpath} set_position {cellpath} // local call add_channels {cellpath} // local call end //************************ End function make_MS_cell *********************** //************************************************************************** //************************ End Primary Routine ******************************** //*****************************************************************************