- Author:
- GitHub <noreply@github.com>
- Date:
- 2022-06-20 15:59:19+12:00
- Desc:
- Create README.md
- Permanent Source URI:
- https://staging.physiomeproject.org/workspace/8aa/rawfile/b46a0350f264bd9f94ef8b042d12ba826112d874/Experiments/Figure_4/Fig4_sim.py
# Author : Leyla Noroozbabaee
# Date: 12/2/2022
# FOR the case of time dependent state variable such as membrane potential the following definition is applied.
# var v: mV {init: v_init, pub: out};
# ode(v, time) = - I_tot;
#
# FOR the case of step-wise changes in state variable such as membrane potential the following definition is applied
# var v: mV {pub: out};
# v = sel
# case (time <= time_clamp_sta) and (v_var == 0{dimensionless}):
# v_hold;
# case (time > time_clamp_sta) and (time <= time_clamp_end) and (v_var == 0{dimensionless}):
# v_clamp;
# otherwise:
# v_hold;
# endsel;
# To reproduce the data needed for Figure 4 in associated original paper,
# execute this script in the Python console in OpenCOR. This can be done
# with the following commands at the prompt in the OpenCOR Python console:
#
# In [1]: cd path/to/folder_this_file_is_in
# In [2]: run Fig4_sim.py
import opencor as oc
import numpy as np
Fig_AB = 1
Fig_CD = 1
if Fig_AB:
prefilename = 'Fig4'
# Load the simulation file
simfile = 'C:/Users/lnor300/Documents/CellML/12_Labors/Tong_2011_V1/Simulations/Tong_2011.sedml'
simulation = oc.open_simulation(simfile)
data = simulation.data()
# Set constant values
start = 0
end = 10000
pointInterval = 0.1
data.set_starting_point(start)
data.set_ending_point(end)
data.set_point_interval(pointInterval)
# Reset states variables and parameters
simulation.reset(True)
data.constants()['interface/I_h/a_correction'] = 1
data.constants()['interface/membrane_potential/v_init'] = -110
data.constants()['interface/parameters/kmca'] = 0.001
# Run Simulation
simulation.run()
# Data to save
varName = np.array(["Time", "yss", "ya", "yb", "ytc", "ih", "v" ])
vars = np.reshape(varName, (1,7))
rows = end * 10 + 1
# Access simulation results
results = simulation.results()
# Grab some algebraic results
r = np.zeros((rows, len(varName)))
r [ :, 0 ] = results.voi().values()
r [ :, 1 ] = results.algebraic()['interface/I_h/yss'].values()
r [ :, 2 ] = results.algebraic()['interface/I_h/ya'].values()
r [ :, 3 ] = results.algebraic() [ 'interface/I_h/yb' ].values()
r [ :, 4 ] = results.algebraic() [ 'interface/I_h/ytc' ].values()
r [ :, 5 ] = results.algebraic() [ 'interface/I_h/ih' ].values()
r [ :, 6 ] = results.states() [ 'interface/membrane_potential/v' ].values()
filename = '%s.csv' % (prefilename)
np.savetxt(filename, vars, fmt='%s', delimiter=",")
with open(filename, "ab") as f:
np.savetxt(f, r, delimiter=",")
f.close
if Fig_CD:
prefilename = 'Fig4_3'
# Load the simulation file
simfile = 'C:/Users/lnor300/Documents/CellML/12_Labors/Tong_2011_V1/Simulations/VoltageVAR_Tong_2011.sedml'
simulation = oc.open_simulation(simfile)
data = simulation.data()
# Set constant values
start = 0
end = 300
pointInterval = 0.001
data.set_starting_point(start)
data.set_ending_point(end)
data.set_point_interval(pointInterval)
v_clamp = [-130, -110, -90, -80, -70, -60, -50, -40, -30]
for i in range(len(v_clamp)):
# Reset states variables and parameters
simulation.reset(True)
data.constants()[ 'interface/membrane_potential/v_init' ] = -150
data.constants()['interface/membrane_potential/v_hold'] = -30
data.constants() ['interface/parameters/kmca' ] = 0.001
data.constants()['interface/membrane_potential/v_clamp'] = v_clamp[i]
data.constants()['interface/membrane_potential/time_clamp_end'] = end
data.constants()['interface/membrane_potential/time_clamp_sta'] = 100
simulation.run()
# Access simulation results
results = simulation.results()
# Data to save
varName = np.array([ "Time", "ih", "v" ])
vars = np.reshape(varName, (1, 3))
rows = end * 1000 + 1
# Grab some algebraic (states) results
r = np.zeros((rows, len(varName)))
r [ :, 0 ] = results.voi().values()
r [ :, 1 ] = results.algebraic() [ 'interface/I_h/ih' ].values()
r [ :, 2 ] = results.algebraic() [ 'interface/membrane_potential/v' ].values()
# Save the simulation result
filename = '%s_%s.csv' % (prefilename, i)
np.savetxt(filename, vars, fmt='%s', delimiter=",")
with open(filename, "ab") as f:
np.savetxt(f, r, delimiter=",")
f.close
