<Lems>
<!--
This LEMS file has been automatically generated using PyNeuroML v0.5.11 (libNeuroML v0.2.55)
-->
<!-- Specify which component to run -->
<Target component="olm_example_sim"/>
<!-- Include core NeuroML2 ComponentType definitions -->
<Include file="Cells.xml"/>
<Include file="Networks.xml"/>
<Include file="Simulation.xml"/>
<Include file="olm_example_net.nml"/>
<Include file="olm.cell.nml"/>
<Include file="olm-example/leak_chan.channel.nml"/>
<Include file="olm-example/HCNolm.channel.nml"/>
<Include file="olm-example/Kdrfast.channel.nml"/>
<Include file="olm-example/KvAolm.channel.nml"/>
<Include file="olm-example/Nav.channel.nml"/>
<Simulation id="olm_example_sim" length="300ms" step="0.01ms" target="single_olm_cell_network" seed="123"> <!-- Note seed: ensures same random numbers used every run -->
<OutputFile id="output0" fileName="olm_example_sim.dat">
<OutputColumn id="pop0[0]_v" quantity="pop0[0]/v"/>
<OutputColumn id="pop0[0]_iChannels" quantity="pop0[0]/iChannels"/>
<OutputColumn id="pop0[0]_Nav_dendrite_iDensity" quantity="pop0[0]/biophys/membraneProperties/Nav_dendrite/iDensity/"/>
<OutputColumn id="pop0[0]_Nav_soma_iDensity" quantity="pop0[0]/biophys/membraneProperties/Nav_soma/iDensity/"/>
<OutputColumn id="pop0[0]_Nav_axon_iDensity" quantity="pop0[0]/biophys/membraneProperties/Nav_axon/iDensity/"/>
</OutputFile>
</Simulation>
</Lems>
The writer converts this to this sort of Python code:
# ###################### File to save: olm_example_sim.dat (output0)
py_v_pop0[0]_v_output0 = [ float(x / 1000.0) for x in h.v_pop0[0]_v_output0.to_python() ] # Convert to Python list for speed, variable has dim: voltage
py_v_pop0[0]_iChannels_output0 = [ float(x / 1.0E9) for x in h.v_pop0[0]_iChannels_output0.to_python() ] # Convert to Python list for speed, variable has dim: current
py_v_pop0[0]_Nav_dendrite_iDensity_output0 = [ float(x / 0.001) for x in h.v_pop0[0]_Nav_dendrite_iDensity_output0.to_python() ] # Convert to Python list for speed, variable has dim: currentDensity
py_v_pop0[0]_Nav_soma_iDensity_output0 = [ float(x / 0.001) for x in h.v_pop0[0]_Nav_soma_iDensity_output0.to_python() ] # Convert to Python list for speed, variable has dim: currentDensity
py_v_pop0[0]_Nav_axon_iDensity_output0 = [ float(x / 0.001) for x in h.v_pop0[0]_Nav_axon_iDensity_output0.to_python() ] # Convert to Python list for speed, variable has dim: currentDensity
here, since the [0] bits are included in the variable name, the script won't run. So, we need to figure out a way to replace these to come up with valid Python variable names. The simplest would to replace [xx] with _xx_ I guess, but we need to see how this may affect the running of the script.
Here's an example LEMS simulation file:
The writer converts this to this sort of Python code:
here, since the
[0]
bits are included in the variable name, the script won't run. So, we need to figure out a way to replace these to come up with valid Python variable names. The simplest would to replace[xx]
with_xx_
I guess, but we need to see how this may affect the running of the script.