xopen("init_5cmpt.hoc")
{load_file("nrngui.hoc")}
forsec dend{insert Gfluctdv}
{load_file("SetConductances2.hoc")}
//use the parameters below to recreate Figure 5 of Powers and Heckman 2017
forsec dend {g_e0_Gfluctdv=1e-5
std_e_Gfluctdv=1.2e-5
g_i0_Gfluctdv=1e-5
std_i_Gfluctdv=1.2e-5
tau_e_Gfluctdv=20
tau_i_Gfluctdv=20
}
SLOPE1=0.003
RSTRT2=1.5
simple2del()
grampon()
tstop=22000
objref smspikes,filt,filtfile,onestsp,avrate,avrateout
filtfile=new File()
avrateout=new File()
proc batchrunpool(){local i,ii,trun,nmn
trun=startsw()
nmn=$3 //number of motoneurons in pool
simple2del()
grampon()
avrate=new Vector(tstop)
for ii = 0,nmn-1 {
sprint(filename,"Fivecompt%s/Fivecompt%s_%d/Fivecompt%s_%d.hoc",$s1,$s1,ii,$s1,ii)
xopen(filename)
forsec dend {gcabar_L_Ca_inact=$4*gcabar_L_Ca_inact}
apc.record()
apc.record(spiketimes)
sprint(filename,"%s_%d.dat",$s2,ii)
spikeout.wopen(filename)
run()
spiketimes.printf(spikeout,"%8.4f\n")
spikeout.close()
spike_convolve("fwave1s.txt",tstop,1001) //changed to one second long to match De Luca
avrate.add(smspikes)
}
avrate.div(nmn)
avrateout.wopen("avrate.txt")
avrate.printf(avrateout,"%8.4f\n")
avrateout.close()
print startsw()-trun, "seconds"
}
proc spike_convolve(){local ii,npnts,fnpnts,indx localobj file
sprint(filename,$s1)
npnts=$2
fnpnts=$3
filtfile.ropen(filename)
filt=new Vector(fnpnts)
filt.scanf(filtfile,fnpnts,1,1)
smspikes=new Vector()
onestsp=new Vector(npnts)
for ii=0,spiketimes.size()-1{
indx=int(spiketimes.x[ii])
if (indx < tstop) {onestsp.x[indx]=1.0} //just in case last spiketime == tstop
}
smspikes.convlv(onestsp,filt)
smspikes.remove(npnts,smspikes.size()-1)
}