def getMT():
MT = []
MT.append([ [ [ ['offma_Ca_HVA', 'offmb_Ca_HVA'], -25.9 ],
[ ['offha_Ca_HVA', 'offhb_Ca_HVA'], -27.0 ] ],
[ [ ['offma_Ca_HVA', 'offmb_Ca_HVA'], -37.3 ],
[ ['offha_Ca_HVA', 'offhb_Ca_HVA'], -30.0 ] ] ])
MT.append([ [ [ ['offha_Ca_HVA', 'offhb_Ca_HVA'], -5.2 ],
[ ['sloha_Ca_HVA', 'slohb_Ca_HVA'], 0.69 ] ],
[ [ ['tauha_Ca_HVA', 'tauhb_Ca_HVA'], 1.7] ],
[ [ ['offma_Ca_HVA', 'offmb_Ca_HVA'], [-4.9, 4.9] ],
[ ['offha_Ca_HVA', 'offhb_Ca_HVA'], [-5.1, 5.1] ],
[ ['tauma_Ca_HVA', 'taumb_Ca_HVA'], [0.6, 1.68] ],
[ ['tauha_Ca_HVA', 'tauhb_Ca_HVA'], [0.6, 1.66] ] ] ])
MT.append([ [ [ ['offma_Ca_HVA', 'offmb_Ca_HVA'], -10.9 ],
[ ['sloma_Ca_HVA', 'slomb_Ca_HVA'], 0.73 ],
[ ['offha_Ca_HVA', 'offhb_Ca_HVA'], [-3.0, 3.5] ],
[ ['sloha_Ca_HVA', 'slohb_Ca_HVA'], 0.81 ],
[ ['tauha_Ca_HVA', 'tauhb_Ca_HVA'], 1.25 ] ],
[ [ ['offma_Ca_HVA', 'offmb_Ca_HVA'], [-10.6, 3.4] ],
[ ['sloma_Ca_HVA', 'slomb_Ca_HVA'], [0.8, 1.12] ],
[ ['offha_Ca_HVA', 'offhb_Ca_HVA'], [-5.3, 1.2] ],
[ ['sloha_Ca_HVA', 'slohb_Ca_HVA'], 0.66 ],
[ ['tauha_Ca_HVA', 'tauhb_Ca_HVA'], 0.72 ] ],
[ [ ['offma_Ca_HVA', 'offmb_Ca_HVA'], 6.6 ],
[ ['sloma_Ca_HVA', 'slomb_Ca_HVA'], [0.75, 1.19] ],
[ ['tauha_Ca_HVA', 'tauhb_Ca_HVA'], [0.5, 1.12] ] ] ])
MT.append([ [ [ 'offma_Ca_LVAst', 1.3 ],
[ 'offha_Ca_LVAst', 1.6 ],
[ ['taummin_Ca_LVAst', 'taumdiff_Ca_LVAst'], [0.87, 1.45] ],
[ ['tauhmin_Ca_LVAst', 'tauhdiff_Ca_LVAst'], 0.8 ] ] ])
MT.append([ [ [ ['tauma_Ca_HVA', 'taumb_Ca_HVA'], 0.67 ] ],
[ [ ['offma_Ca_HVA', 'offmb_Ca_HVA'], -30.02 ],
[ ['sloma_Ca_HVA', 'slomb_Ca_HVA'], 0.62 ],
[ ['tauma_Ca_HVA', 'taumb_Ca_HVA'], 0.49] ] ])
MT.append([ [ [ 'gamma_CaDynamics_E2', 0.6 ] ] ])
MT.append([ [ [ 'decay_CaDynamics_E2', 1.97 ] ],
[ [ 'decay_CaDynamics_E2', 1.5 ],
[ 'minCai_CaDynamics_E2' , 1.4 ] ],
[ [ 'decay_CaDynamics_E2', 4.45 ] ] ])
MT.append([ [ [ 'gamma_CaDynamics_E2', 0.4 ] ] ])
MT.append([ [ [ 'offm_NaTa_t', -0.3 ],
[ 'offh_NaTa_t', 5 ],
[ 'slom_NaTa_t', 1.15 ],
[ 'sloh_NaTa_t', 1.23 ] ],
[ [ 'offm_NaTa_t', 2.8 ],
[ 'offh_NaTa_t', 9.6 ],
[ 'slom_NaTa_t', 0.984 ],
[ 'sloh_NaTa_t', 1.042 ] ] ])
MT.append([ [ [ ['offh_Nap_Et2', 'offha_Nap_Et2', 'offhb_Nap_Et2'], 6.8 ] ],
[ [ ['offh_Nap_Et2', 'offha_Nap_Et2', 'offhb_Nap_Et2'], 3.5 ],
[ 'sloh_Nap_Et2', 0.55 ],
[ 'offm_NaTa_t', -7.1 ],
[ 'offh_NaTa_t', 17.0 ],
[ 'sloh_NaTa_t', 0.69 ] ],
[ [ 'offm_NaTa_t', -9.1 ],
[ 'offh_NaTa_t', 3.1 ] ],
[ [ 'offm_NaTa_t', -7.6 ],
[ 'offh_NaTa_t', 4.3 ] ] ])
MT.append([ [ [ ['taummin_K_Pst', 'taumdiff1_K_Pst', 'taumdiff2_K_Pst'], 2.0 ],
[ ['tauhmean_K_Pst', 'tauhdiff1_K_Pst', 'tauhdiff2_K_Pst'], 2.5 ],
[ 'sloh_K_Pst', 0.5 ] ] ])
MT.append([ [ [ 'offc_SK_E2', 0.86 ],
[ 'sloc_SK_E2', 1.24 ] ] ])
MT.append([ [ [ ['offma_Ih', 'offmb_Ih'], -26.5 ],
[ ['sloma_Ih', 'slomb_Ih'], 0.64 ] ] ])
MT.append([ [ [ 'offm_K_Pst', 5 ],
[ 'offh_K_Pst', 3 ],
[ 'slom_K_Pst', 1.11 ],
[ 'sloh_K_Pst', 0.86 ],
[ ['taummin_K_Pst', 'taumdiff1_K_Pst', 'taumdiff2_K_Pst'], 0.5 ],
[ ['tauhmean_K_Pst', 'tauhdiff1_K_Pst', 'tauhdiff2_K_Pst'], 0.53 ] ],
[ [ 'offm_K_Pst', 1 ],
[ 'offh_K_Pst', -6 ],
[ 'slom_K_Pst', 1.22 ],
[ 'sloh_K_Pst', 1.0 ],
[ ['taummin_K_Pst', 'taumdiff1_K_Pst', 'taumdiff2_K_Pst'], 0.89 ],
[ ['tauhmean_K_Pst', 'tauhdiff1_K_Pst', 'tauhdiff2_K_Pst'], 1.13 ] ],
[ [ 'offm_K_Pst', 6 ],
[ 'offh_K_Pst', -8 ],
[ 'slom_K_Pst', 1.33 ],
[ 'sloh_K_Pst', 1.0 ],
[ ['taummin_K_Pst', 'taumdiff1_K_Pst', 'taumdiff2_K_Pst'], 0.5 ],
[ ['tauhmean_K_Pst', 'tauhdiff1_K_Pst', 'tauhdiff2_K_Pst'], 0.87 ] ],
[ [ 'offm_K_Pst', -28 ],
[ 'offh_K_Pst', -27 ],
[ 'slom_K_Pst', 1.11 ],
[ 'sloh_K_Pst', 0.71 ],
[ ['taummin_K_Pst', 'taumdiff1_K_Pst', 'taumdiff2_K_Pst'], 1.13 ],
[ ['tauhmean_K_Pst', 'tauhdiff1_K_Pst', 'tauhdiff2_K_Pst'], 2.27 ] ],
[ [ 'offm_K_Pst', 14 ],
[ 'offh_K_Pst', -21 ],
[ 'slom_K_Pst', 2.0 ],
[ 'sloh_K_Pst', 1.0 ],
[ ['taummin_K_Pst', 'taumdiff1_K_Pst', 'taumdiff2_K_Pst'], 0.39 ],
[ ['tauhmean_K_Pst', 'tauhdiff1_K_Pst', 'tauhdiff2_K_Pst'], 1.2 ] ],
[ [ 'offm_K_Pst', -13 ],
[ 'offh_K_Pst', -13 ],
[ 'slom_K_Pst', 1.33 ],
[ 'sloh_K_Pst', 0.71 ],
[ ['taummin_K_Pst', 'taumdiff1_K_Pst', 'taumdiff2_K_Pst'], 0.95 ],
[ ['tauhmean_K_Pst', 'tauhdiff1_K_Pst', 'tauhdiff2_K_Pst'], 5.13 ] ] ])
print "MT loaded successfully:"
print MT
return MT
def getdefvals():
defVals = {'gamma_CaDynamics_E2': [0.000501, 0.000509],
'decay_CaDynamics_E2': [460.0, 122.0],
'depth_CaDynamics_E2': 0.1,
'minCai_CaDynamics_E2': 1e-4,
'offma_Ca_HVA': -27.0,
'offmb_Ca_HVA': -75.0,
'offha_Ca_HVA': -13.0,
'offhb_Ca_HVA': -15.0,
'sloma_Ca_HVA': 3.8,
'slomb_Ca_HVA': 17.0,
'sloha_Ca_HVA': 50.0,
'slohb_Ca_HVA': 28.0,
'tauma_Ca_HVA': 1.0/0.055,
'taumb_Ca_HVA': 1.0/0.94,
'tauha_Ca_HVA': 1.0/0.000457,
'tauhb_Ca_HVA': 1.0/0.0065,
'offma_Ca_LVAst': -40.0,
'offmt_Ca_LVAst': -35.0,
'offha_Ca_LVAst': -90.0,
'offht_Ca_LVAst': -50.0,
'sloma_Ca_LVAst': 6.0,
'slomt_Ca_LVAst': 5.0,
'sloha_Ca_LVAst': 6.4,
'sloht_Ca_LVAst': 7.0,
'taummin_Ca_LVAst': 5.0,
'taumdiff_Ca_LVAst': 20.0,
'tauhmin_Ca_LVAst': 20.0,
'tauhdiff_Ca_LVAst': 50.0,
'ehcn_Ih': -45.0,
'offma_Ih': -154.9,
'sloma_Ih': 11.9,
'tauma_Ih': 1.0/0.00643,
'offmb_Ih': 0.0,
'slomb_Ih': 33.1,
'taumb_Ih': 1.0/0.193,
'offma_Im': -35.0,
'sloma_Im': 10.0,
'tauma_Im': 1.0/3.3e-3,
'offmb_Im': -35.0,
'slomb_Im': 10.0,
'taumb_Im': 1.0/3.3e-3,
'offm_K_Pst': -11.0,
'slom_K_Pst': 12.0,
'offmt_K_Pst': -10.0,
'slomt_K_Pst': 1.0/0.026,
'taummin_K_Pst': 1.25,
'taumdiff1_K_Pst': 175.03,
'taumdiff2_K_Pst': 13.0,
'offh_K_Pst': -64.0,
'sloh_K_Pst': 11.0,
'offht1_K_Pst': -65.0,
'offht2_K_Pst': -85.0,
'sloht_K_Pst': 48.0,
'tauhmean_K_Pst': 360.0,
'tauhdiff1_K_Pst': 1010.0,
'tauhdiff2_K_Pst': 24.0,
'offm_K_Tst': -10.0,
'slom_K_Tst': 19.0,
'offh_K_Tst': -76.0,
'sloh_K_Tst': 10.0,
'offmt_K_Tst': -81.0,
'slomt_K_Tst': 59.0,
'taummin_K_Tst': 0.34,
'taumdiff_K_Tst': 0.92,
'offht_K_Tst': -83.0,
'sloht_K_Tst': 23.0,
'tauhmin_K_Tst': 8.0,
'tauhdiff_K_Tst': 49.0,
'offm_NaTa_t': -38.0,
'offh_NaTa_t': -66.0,
'slom_NaTa_t': 6.0,
'sloh_NaTa_t': 6.0,
'tauma_NaTa_t': 1.0/0.182,
'taumb_NaTa_t': 1.0/0.124,
'tauha_NaTa_t': 1.0/0.015,
'tauhb_NaTa_t': 1.0/0.015,
'offm_Nap_Et2': -52.6,
'slom_Nap_Et2': 4.6,
'offma_Nap_Et2': -38.0,
'offmb_Nap_Et2': -38.0,
'sloma_Nap_Et2': 6.0,
'slomb_Nap_Et2': 6.0,
'tauma_Nap_Et2': 1.0/0.182,
'taumb_Nap_Et2': 1.0/0.124,
'taummax_Nap_Et2': 6.0,
'offh_Nap_Et2': -48.8,
'sloh_Nap_Et2': 10.0,
'offha_Nap_Et2': -17.0,
'offhb_Nap_Et2': -64.4,
'sloha_Nap_Et2': 4.63,
'slohb_Nap_Et2': 2.63,
'tauha_Nap_Et2': 1.0/2.88e-6,
'tauhb_Nap_Et2': 1.0/6.94e-6,
'tauhmax_Nap_Et2': 1.0,
'zTau_SK_E2': 1.0,
'offc_SK_E2': 0.00043,
'sloc_SK_E2': 4.8,
'offma_SKv3_1': 18.7,
'offmt_SKv3_1': -46.56,
'sloma_SKv3_1': 9.7,
'slomt_SKv3_1': 44.14,
'taummax_SKv3_1': 4.0}
print "defVals loaded successfully:"
print defVals
return defVals
def getgenenames():
return ['CACNA1C', 'CACNB2', 'CACNA1D', 'CACNA1I', 'CACNA1S', 'ATP2A2', 'ATP2B2', 'NRGN', 'SCN1A', 'SCN9A', 'KCNS3', 'KCNN3', 'HCN1', 'KCNB1']