key = [a, d]
ns.save_current(
net,
"IC-soma",
["AMPA", "NMDA", "GABAa"],
key,
base_filename + "_current_s_" + str(d) + "_a_" + str(a) + ".dat",
)
# Plot the voltage traces
if ShowVoltage:
count = 0
for d in stims:
count += 1
ns.subplot(len(stims), 1, count)
for a in param:
key = [a, d]
ns.plot_voltage(net, "IC-soma", key)
ns.plot_voltage(net, "MSO_ON-soma", key)
ns.plot_voltage(net, "MSO_OFF-soma", key)
ns.legend()
ns.show()
# Plot the condutance
if ShowConductance:
count = 0
for d in stims:
count += 1
ns.subplot(len(stims), 1, count)
for a in param:
current=False,
voltage=True)
if True:
ns.plot_mean_spikes(networks["C"], "IC-soma", "c_soma_size.dat")
ns.plot_mean_spikes(networks["AC"], "IC-soma", "ac_soma_size.dat")
ns.show() # Comment out to just save the results to file
# Plot the results
if False:
count = 0
for a in param:
for d in stims:
count += 1
key = [a,d]
ns.subplot(len(param),len(stims),count)
ns.plot_voltage(networks["C"], "IC-soma", key)
progress.update(count, len(stims))
ns.show()
if False:
count = 0
for a in param:
for d in stims:
count += 1
key = [a,d]
ns.subplot(len(param),len(stims),count)
ns.plot_conductance(networks["C"], "IC-dendE", "NMDA", key)
ns.plot_conductance(networks["C"], "IC-dendE", "AMPA", key)
ns.plot_conductance(networks["C"], "IC-dendE", "GABAa", key)
progress.update(count, len(stims))