from neuron import h
import math
import numpy as np
from Synapses import Synapse_py3
class Golgi_morpho_2():
def __init__(self):
h.load_file('stdlib.hoc')
h.load_file('import3d.hoc')
cell = h.Import3d_Neurolucida3()
cell.input('morphology/pair-140514-C2-1_split_2.asc')
i3d = h.Import3d_GUI(cell,0)
i3d.instantiate(self)
conductvalues = np.genfromtxt("Optimization_result.txt")
#Soma
self.soma[0].nseg = 1 + (2 * int(self.soma[0].L / 40))
self.soma[0].Ra = 122
self.soma[0].cm = 1
self.soma[0].insert('Leak')
self.soma[0].gmax_Leak = 0.00003
self.soma[0].e_Leak = -55
self.soma[0].insert('Nav1_6')
self.soma[0].gbar_Nav1_6 = conductvalues[9]
self.soma[0].ena = 60
self.soma[0].insert('Kv1_1')
self.soma[0].gbar_Kv1_1 = conductvalues[10]
self.soma[0].insert('Kv3_4')
self.soma[0].gkbar_Kv3_4 = conductvalues[11]
self.soma[0].insert('Kv4_3')
self.soma[0].gkbar_Kv4_3 = conductvalues[12]
self.soma[0].insert('Kca1_1')
self.soma[0].gbar_Kca1_1 = conductvalues[13]
self.soma[0].insert('Kca3_1')
self.soma[0].gkbar_Kca3_1 = conductvalues[14]
self.soma[0].insert('GRC_CA')
self.soma[0].gcabar_GRC_CA = conductvalues[15]
self.soma[0].insert('Cav3_1')
self.soma[0].pcabar_Cav3_1 = conductvalues[16]
self.soma[0].ek = -80
self.soma[0].insert('cdp5StCmod')
self.soma[0].TotalPump_cdp5StCmod = 1e-7
self.soma[0].eca = 137
self.whatami = "golgi2020"
##dend #to be redone
self.dendbasal = []
self.dendapical = []
for en_index, d_sec in enumerate(self.dend):
if en_index == 0 or en_index == 75 or en_index >= 103 and en_index <= 125 or en_index >= 153 and en_index <= 167:
self.dendbasal.append(d_sec)
if en_index >= 1 and en_index <= 74 or en_index >= 76 and en_index <= 102 or en_index >= 126 and en_index <= 152:
self.dendapical.append(d_sec)
#Dend apical
for r in self.dendapical:
r.nseg = 1 + (2 * int(r.L / 40))
r.Ra = 122
r.cm = 2.5
r.insert('Leak')
r.gmax_Leak = 0.00003
r.e_Leak = -55
r.insert('Nav1_6')
r.gbar_Nav1_6 = conductvalues[0]
r.ena = 60
r.insert('Kca1_1')
r.gbar_Kca1_1 = conductvalues[1]
r.insert('Kca2_2')
r.gkbar_Kca2_2 = conductvalues[2]
r.ek = -80
r.insert('Cav2_3')
r.gcabar_Cav2_3 = conductvalues[3]
r.insert('Cav3_1')
r.pcabar_Cav3_1 = conductvalues[4]
r.insert('cdp5StCmod')
r.TotalPump_cdp5StCmod = 5e-9
r.push()
r.eca = 137
h.pop_section()
#Dend basal
for i in self.dendbasal:
i.nseg = 1 + (2 * int(i.L / 40))
i.Ra = 122
i.cm = 2.5
i.insert('Leak')
i.gmax_Leak = 0.00003
i.e_Leak = -55
i.insert('Nav1_6')
i.gbar_Nav1_6 = conductvalues[5]
i.ena = 60
i.insert('Kca1_1')
i.gbar_Kca1_1 = conductvalues[6]
i.insert('Kca2_2')
i.gkbar_Kca2_2 = conductvalues[7]
i.ek = -80
i.insert('GRC_CA')
i.gcabar_GRC_CA = conductvalues[8]
i.insert('cdp5StCmod')
i.TotalPump_cdp5StCmod = 2e-9
i.push()
i.eca = 137
h.pop_section()
#axon
for i,d in enumerate(self.axon):
if i == 0:
#AIS
self.axon[i].nseg = 1 + (2 * int(self.axon[i].L / 40))
self.axon[i].Ra = 122
self.axon[i].cm = 1
self.axon[i].insert('Leak')
self.axon[i].gmax_Leak = 0.00003
self.axon[i].e_Leak = -55
self.axon[i].insert('HCN1')
self.axon[i].gbar_HCN1 = conductvalues[17]
self.axon[i].insert('HCN2')
self.axon[i].gbar_HCN2 = conductvalues[18]
self.axon[i].insert('Nav1_6')
self.axon[i].gbar_Nav1_6 = conductvalues[19]
self.axon[i].ena = 60
self.axon[i].insert('GRC_KM')
self.axon[i].gkbar_GRC_KM = conductvalues[20]
self.axon[i].insert('Kca1_1')
self.axon[i].gbar_Kca1_1 = conductvalues[21]
self.axon[i].insert('GRC_CA')
self.axon[i].gcabar_GRC_CA = conductvalues[22]
self.axon[i].ek = -80
self.axon[i].insert('cdp5StCmod')
self.axon[i].TotalPump_cdp5StCmod = 1e-8
self.axon[i].push()
self.axon[i].eca = 137
h.pop_section()
elif i >= 1:
#axon
self.axon[i].nseg = 1 + (2 * int(self.axon[i].L / 40))
self.axon[i].cm = 1
self.axon[i].Ra = 122
self.axon[i].insert('Leak')
self.axon[i].e_Leak = -55
self.axon[i].gmax_Leak = 0.000001
self.axon[i].insert('Nav1_6')
self.axon[i].gbar_Nav1_6 = conductvalues[23]
self.axon[i].ena = 60
self.axon[i].insert('Kv3_4')
self.axon[i].gkbar_Kv3_4 = conductvalues[24]
self.axon[i].ek = -80
self.axon[i].insert('cdp5StCmod')
self.axon[i].TotalPump_cdp5StCmod = 1e-8
self.axon[i].push()
self.axon[i].eca = 137
h.pop_section()
#Code to record everything.
self.nc_spike = h.NetCon(self.soma[0](1)._ref_v, None,-20,0.1,1, sec = self.soma[0])
self.time_vector = h.Vector()
self.time_vector.record(h._ref_t)
self.vm = h.Vector()
self.vm.record(self.soma[0](0.5)._ref_v)
def createsyn(self, pf_n, mf_n, aa_n, inib_n):
#pf
self.L_PF = []
self.dend_pf = []
#the list self.dend_pf is the same as self.dendapical... so....
for sec_index, sec_sec in enumerate(self.dend):
if sec_index >= 1 and sec_index <= 74 or sec_index >= 76 and sec_index <= 102 or sec_index >= 126 and sec_index <= 152:
self.dend_pf.append(sec_sec)
#To increase the number of synpases for each seaction
self.dend_pf = self.dend_pf *1
print('self.dend_pf', len(self.dend_pf))
#PF location
for i in range(0, pf_n):
self.L_PF.append(Synapse_py3('PF',self,self.dend_pf[i]))
#self.L_PF = self.L_PF #* 82
print('pf_list_list', self.L_PF)
#mossy
self.L_MF = []
self.L_MF_NMDA_B = []
self.dend_mf = []
self.dend_aa = []
for sec_index, sec_sec in enumerate(self.dend):
if sec_index >= 105 and sec_index <= 107 or sec_index >= 110 and sec_index <= 113 or sec_index >= 115 and sec_index <= 119 or sec_index >= 123 and sec_index <= 124 or sec_index >= 154 and sec_index <= 160 or sec_index >= 162 and sec_index <= 167:
self.dend_mf.append(sec_sec)
self.dend_aa.append(sec_sec)
print('self.dend_mf', len(self.dend_mf))
#MF location
for i in range(0, mf_n):
self.L_MF.append(Synapse_py3('MF',self,self.dend_mf[i]))
self.L_MF_NMDA_B.append(Synapse_py3('MF_nmda_B',self,self.dend_mf[i]))
#AA
self.L_AA = []
self.L_AA_NMDA_B = []
for i in range(0, aa_n):
self.L_AA.append(Synapse_py3('AA',self,self.dend_aa[i]))
self.L_AA_NMDA_B.append(Synapse_py3('MF_nmda_B',self,self.dend_aa[i]))