- Author:
- nima <nafs080@aucklanduni.ac.nz>
- Date:
- 2021-10-13 17:22:04+13:00
- Desc:
- Updated Documentation
- Permanent Source URI:
- https://models.cellml.org/workspace/702/rawfile/63554fa72b7ca4c4e2bab44f0a05f8334c95f4a1/Fig11/fig11-test.py
import scipy.io as sio
import numpy as np
import os
import matplotlib.pyplot as plt
import opencor as opencor
data = sio.loadmat('Param_Ik1')
xK1_spont= data['all_parameters_spont'][:,16:22]
all_params_XK1= data['all_parameters'][:,16:22]
variations= len(xK1_spont[:, 0])
vm_plot = np.arange(-150,101,1)
cell2plot=8000
if (cell2plot>variations):
cell2plot = variations
else:
pass
def ik1_IV (var, vm):
Ki=148
Ko = 5.4
R = 8.314472
T = 310.0
F = 96.4853415
E_K = R*T/F*np.log(Ko/Ki)
g_k1 = var[:, 0]
# ik1_list = {}
ik1_list = np.zeros((251, 5380))
for v in vm:
# ik1_list[v] = []
alpha = var[:,1]*np.exp((vm[v] +var[:,3])/var[:,2])
beta = np.exp((vm[v] +var[:,5])/var[:,4])
x_inf = alpha/(alpha+beta)
ik1= g_k1*np.sqrt(Ko/5.4)*x_inf*(vm[v] -E_K)
ik1_list[v] = ik1
# ik1_list[v].append(ik1)
return ik1_list
if __name__ == "__main__":
ik1_plot = ik1_IV(xK1_spont, vm_plot)
plt.plot(vm_plot, ik1_plot)
plt.ylim(-50, 10)
plt.xlim(-150,100)
plt.show()
