#cp ../almogmod2/calcifcurves2.py calcifcurves.py
from neuron import h
import matplotlib
matplotlib.use('Agg')
import numpy
from pylab import *
import mytools
import pickle
import sys
from setparams import *
from os.path import exists
import time
v0 = -62
ca0 = 0.0001
proximalpoint = 400
distalpoint = 620
#distalpoint = 960
BACdt = 5.0
coeffCoeffs = [[0.25,0],[0.125,0],[0.5,0],[0.5,1.0/3],[0.5,2.0/3],[0.5,1.0],[-0.25,0],[-0.125,0],[-0.5,0]]
Is = [1.0, 3.0, 5.0, 7.0, 10.0, 15.0, 20.0, 30.0, 100.0]
Ihcoeff = 1.0
denddist = 620
if len(sys.argv) > 1:
Ihcoeff = float(sys.argv[1])
if len(sys.argv) > 2:
denddist = float(sys.argv[2])
h("""
load_file("myrun.hoc")
""")
h("""
objref cvode
cvode = new CVode()
cvode.active(1)
cvode.atol(0.001)
access a_soma
objref st1,syn1, sl
double siteVec[2]
sl = new List()
sl=locateSites("apic","""+str(denddist)+""")
maxdiam = 0
for(i=0;i<sl.count();i+=1){
dd1 = sl.o[i].x[1]
dd = apic[sl.o[i].x[0]].diam(dd1)
if (dd > maxdiam) {
j = i
maxdiam = dd
}
}
siteVec[0] = sl.o[j].x[0]
siteVec[1] = sl.o[j].x[1]
apic[siteVec[0]] syn1 = new AlphaSynapse(siteVec[1])
//apic[41] syn1 = new AlphaSynapse(0.5)
syn1.onset = 3400
syn1.tau = 3
syn1.gmax = 0.0
syn1.e = 50
objref vsoma, vdend, casoma, cadend, ihsoma, ihdend, tvec
vsoma = new Vector()
vdend = new Vector()
casoma = new Vector()
cadend = new Vector()
ihsoma = new Vector()
ihdend = new Vector()
tvec = new Vector()
a_soma cvode.record(&v(0.5),vsoma,tvec)
apic[siteVec[0]] cvode.record(&v(siteVec[1]),vdend,tvec)
a_soma cvode.record(&cai(0.5),casoma,tvec)
a_soma cvode.record(&ih_iH(0.5),ihsoma,tvec)
apic[siteVec[0]] cvode.record(&cai(siteVec[1]),cadend,tvec)
apic[siteVec[0]] cvode.record(&ih_iH(siteVec[1]),ihdend,tvec)
apic[siteVec[0]] st1 = new IClamp(0.5)
v_init = -62
dt = 0.025
tstop = 1000
""")
styles = ['g-','g-','g-','g-','g-','g-','g-','g-','g-']
#cols = ['#00aaaa','#11cc44','#55ee00','#bbaa00','#ee6600','#ff0000', '#aa00aa','#772277','#333333']
cols = ['#666666','#012345','#aa00aa','#bbaa00','#ee6600','#ff0000', '#00aaaa','#772277','#00cc00']
paramdicts = []
paramdicts.append({}) # 4-6 spikes per burst, control
paramdicts.append({'transvec.x(31)': 1.25, 'transvec.x(32)': 1.25}) # 4-5 spikes per burst
paramdicts.append({'transvec.x(31)': 1.5, 'transvec.x(32)': 1.5}) # 3-4 spikes per burst
paramdicts.append({'transvec.x(31)': 2.0, 'transvec.x(32)': 2.0}) # 3-4 spikes per burst
paramdicts.append({'transvec.x(31)': 4.0, 'transvec.x(32)': 4.0}) # 2-3 spikes per burst
paramdicts.append({'transvec.x(31)': 4.0, 'transvec.x(32)': 4.0, 'transvec.x(20)': 1.3, 'transvec.x(21)': 1.3, 'transvec.x(25)': 1.3, 'transvec.x(26)': 1.3}) # 2 spikes per burst
paramdicts.append({'transvec.x(31)': 4.0, 'transvec.x(32)': 4.0, 'transvec.x(20)': 1.6, 'transvec.x(21)': 1.6, 'transvec.x(25)': 1.6, 'transvec.x(26)': 1.6}) # 1-2 spikes per burst
icell = 0
paramdict = paramdicts[icell]
print("Setting params...")
setparams(paramdict)
h("""forall if(ismembrane("iH")) { gbar_iH = """+str(Ihcoeff)+"""*gbar_iH } """)
#thisCa = h.a_soma.cainf_cad
#cai0_ca_ion = """+str(thisCa)+"""
times_all = []
Vsoma_all = []
Vdend_all = []
ihsoma_all = []
ihdend_all = []
f,axarr = subplots(2,len(Is))
for iI in range(0,len(Is)):
print("Running "+str(iI))
tstop = 1000.0
squareAmp = Is[iI]
squareDur = 0.2
h("""
tstop = """+str(tstop)+"""
v_init = """+str(v0)+"""
st1.amp = """+str(squareAmp)+"""
st1.del = 800
st1.dur = """+str(squareDur)+"""
syn1.gmax = 0
syn1.onset = 200 + """+str(BACdt)+"""
""")
print("Starting soon...")
time.sleep(1)
h.init()
h.run()
times=np.array(h.tvec)
Vsoma=np.array(h.vsoma)
Vdend=np.array(h.vdend)
ihsoma=np.array(h.ihsoma)
ihdend=np.array(h.ihdend)
Casoma=np.array(h.casoma)
Cadend=np.array(h.cadend)
times_all.append(times[:])
Vsoma_all.append(Vsoma[:])
Vdend_all.append(Vdend[:])
ihsoma_all.append(ihsoma[:])
ihdend_all.append(ihdend[:])
axarr[0,iI].plot(times,Vdend)
axarr[1,iI].plot(times,Vsoma)
axarr[0,iI].set_xlim([750,950])
axarr[1,iI].set_xlim([750,950])
picklelist = [times_all,Vsoma_all,Vdend_all,ihsoma_all,ihdend_all]
file = open('strongdendstim'+str(denddist)+'_Ihcoeff'+str(Ihcoeff)+'.sav', 'wb')
pickle.dump(picklelist,file)
file.close()
f.savefig('strongdendstim'+str(denddist)+'_Ihcoeff'+str(Ihcoeff)+'.eps')