- Author:
- WeiweiAi <wai484@aucklanduni.ac.nz>
- Date:
- 2021-11-24 17:49:12+13:00
- Desc:
- Add BG params related scripts and matrix
- Permanent Source URI:
- http://models.cellml.org/workspace/64f/rawfile/bd02dedb491faf9960ccd23496c19ccd3e339db1/sed-ml/originalFig22_sim.py
# To reproduce the data needed for Figure 22 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 originalFig22_sim.py
import opencor as oc
import get_init
import imp
imp.reload(get_init)
# The prefix of the saved output file name
prefilename = 'simFig22'
# Load the simulation file
simfile='periodic-stimulus.sedml'
simulation = oc.open_simulation(simfile)
# The data object houses all the relevant information
# and pointers to the OpenCOR internal data representations
data = simulation.data()
# Define the interval of interest for this simulation experiment
start, end, pointInterval = 0, 30, 0.01
data.set_starting_point(start)
data.set_ending_point(end)
data.set_point_interval(pointInterval)
# Compute initial value based on T and V_b
T, V_b = 6, 30
m, n, h = get_init.init_gate(T, V_b)
V_initial = [30]
for i, iV_initial in enumerate(V_initial):
filename ='%s_(%d)mV.csv' % (prefilename, iV_initial)
# Reset states and parameters
simulation.reset(True)
# Set constant parameter values
data.states()['outputs/V'] = iV_initial
data.constants()['parameters/T'] = T
data.states()['outputs/m'] = m
data.states()['outputs/n'] = n
data.states()['outputs/h'] = h
simulation.run()
# Access simulation results
results = simulation.results()
# Access the full datastore representation of the simulation results
ds = results.data_store()
voi_and_variables = ds.voi_and_variables()
# Save the simulation result
outfile = open(filename, 'w')
cols = []
for key, item in voi_and_variables.items():
outfile.write(str(key) + ",")
cols.append(list(item.values()))
outfile.write("\n")
for i in range(0, len(cols[0])):
for j in range(0, len(cols)):
outfile.write(str(cols[j][i]) + ",")
outfile.write("\n")
outfile.close()
# clear the results
simulation.clear_results()