// Load base neuron, algorithms
xopen("NEURON_001-130308.hoc")
xopen("ALG_PARCHA-130523.hoc")
xopen("ALG_VELOCITY-130308.hoc")
// ----- START EDITS (1 of 2) -----
// Define .dat file for the data
wopen("VELOCITY-141106_myeL_gap_1.dat")
// ----- END EDITS (1 of 2) -----
objref PAR1
PAR1 = new Vector()
objref PAR2
PAR2 = new Vector()
// ----- START EDITS (2 of 2) -----
// State the varying parameter and its values
// See the ALG_PARCHA algorithm for list of
// possible parameters
PAR1name = mye_L
PAR1.append(250, 2250, 4250)
PAR2name = mye_gap
PAR2.append(0.001, 0.005, 0.01, 0.05, 0.1, 0.5, 1, 5, 10)
// ----- END EDITS (2 of 2) -----
PARSIZE1 = PAR1.size()
PARSIZE2 = PAR2.size()
RUNTOTAL = PARSIZE1*PARSIZE2
RUNCOUNTER = 0
for PAR1index = 0, (PARSIZE1-1) {
for PAR2index = 0, (PARSIZE2-1) {
PAR1value = PAR1.x[PAR1index]
PAR2value = PAR2.x[PAR2index]
PARCHA(PAR1name, PAR1value)
PARCHA(PAR2name, PAR2value)
gogo(40, 50)
RUNCOUNTER = RUNCOUNTER+1
print RUNCOUNTER, "of ", RUNTOTAL, "done"
}
}
wopen()
print "really done!"