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pgleesonpgleeson
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11 files changed

Lines changed: 92 additions & 94 deletions

‎NeuroML2/ConnectionsTest.net.nml‎

Lines changed: 12 additions & 12 deletions
Original file line numberDiff line numberDiff line change
@@ -2,8 +2,8 @@
22
<notes>
33
This NeuroML 2 file has been generated from:
44
PyNN v0.10.1
5-
libNeuroML v0.5.5
6-
pyNeuroML v1.1.1
5+
libNeuroML v0.5.8
6+
pyNeuroML v1.1.10
77
</notes>
88
<IF_cond_alpha id="IF_cond_alpha_pop_pre" cm="1.0" i_offset="0.9" tau_syn_E="2.0" tau_syn_I="5.0" v_init="-65.0" tau_m="20.0" tau_refrac="5.0" v_reset="-65.0" v_rest="-65.0" v_thresh="-50.0" e_rev_E="0.0" e_rev_I="-70.0"/>
99
<IF_cond_alpha id="IF_cond_alpha_pop_post" cm="1.0" i_offset="0.9" tau_syn_E="2.0" tau_syn_I="5.0" v_init="-65.0" tau_m="20.0" tau_refrac="5.0" v_reset="-65.0" v_rest="-65.0" v_thresh="-50.0" e_rev_E="0.0" e_rev_I="-70.0"/>
@@ -17,38 +17,38 @@
1717
<property tag="radius" value="5"/>
1818
<property tag="color" value="0 0.6 0"/>
1919
<instance id="0">
20-
<location x="-32.186643403808567" y="-17.354649054736583" z="-65.493481332544846"/>
20+
<location x="48.026350758402799" y="-69.190037555823508" z="43.230176824693345"/>
2121
</instance>
2222
<instance id="1">
23-
<location x="-67.354645297143236" y="-4.19796344220984" z="-43.49873410003169"/>
23+
<location x="75.929331505478089" y="-64.661821721454046" z="-0.556605537325394"/>
2424
</instance>
2525
<instance id="2">
26-
<location x="71.797570419985519" y="18.947079504991638" z="-12.907315815267673"/>
26+
<location x="35.59241432641582" y="9.737288673811362" z="88.649945667378489"/>
2727
</instance>
2828
<instance id="3">
29-
<location x="-52.406762043828394" y="6.010609135001554" z="-58.236579579123649"/>
29+
<location x="-56.671662918841093" y="71.273197135567372" z="-20.265788411910201"/>
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</instance>
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<instance id="4">
32-
<location x="-84.522276311302463" y="-27.093766860654476" z="-28.20137345446372"/>
32+
<location x="41.38743047597837" y="-84.015708694848072" z="25.906326508407119"/>
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</instance>
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</population>
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<population id="pop_post" component="IF_cond_alpha_pop_post" size="5" type="populationList">
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<property tag="radius" value="5"/>
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<property tag="color" value="0 0.2 0.6"/>
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<instance id="0">
39-
<location x="-10.963933858486152" y="160.214056107236161" z="-17.681929175932854"/>
39+
<location x="-43.233180340398583" y="144.923395821374584" z="-41.11272403900945"/>
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</instance>
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<instance id="1">
42-
<location x="-65.391507421071694" y="215.929509183693398" z="53.214475027961086"/>
42+
<location x="-8.620213371864004" y="211.154292888709961" z="10.314730253193405"/>
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</instance>
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<instance id="2">
45-
<location x="-25.558099064460361" y="219.63712563909769" z="-87.608059485643892"/>
45+
<location x="12.122451950855574" y="118.998416927174631" z="-0.00624745751332"/>
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</instance>
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<instance id="3">
48-
<location x="57.458557554047054" y="140.98406076648115" z="-24.288796136764446"/>
48+
<location x="33.976833984737588" y="206.74601881952259" z="-41.314870906738776"/>
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</instance>
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<instance id="4">
51-
<location x="78.618467098550227" y="180.149183458113185" z="-55.213241499240318"/>
51+
<location x="-35.887559660124914" y="244.19377034940743" z="-34.075932459536993"/>
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</instance>
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</population>
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<projection id="pop_pre__TO__pop_post" presynapticPopulation="pop_pre" postsynapticPopulation="pop_post" synapse="syn__pop_pre__TO__pop_post">

‎NeuroML2/Inputs.net.nml‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -2,8 +2,8 @@
22
<notes>
33
This NeuroML 2 file has been generated from:
44
PyNN v0.10.1
5-
libNeuroML v0.5.5
6-
pyNeuroML v1.1.1
5+
libNeuroML v0.5.8
6+
pyNeuroML v1.1.10
77
</notes>
88
<pulseGenerator id="DCSource_DCSource_0" delay="50.0ms" duration="350.0ms" amplitude="0.9nA"/>
99
<compoundInput id="ACSource_ACSource_1">

‎NeuroML2/LEMS_Sim_Inputs.xml‎

Lines changed: 17 additions & 18 deletions
Original file line numberDiff line numberDiff line change
@@ -1,46 +1,45 @@
11
<Lems>
2-
2+
33
<!--
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This LEMS file has been generated from:
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PyNN v0.10.1
6-
libNeuroML v0.5.5
7-
pyNeuroML v1.1.1
6+
libNeuroML v0.5.8
7+
pyNeuroML v1.1.10
88
-->
9-
9+
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<!-- Specify which component to run -->
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<Target component="Sim_Inputs"/>
1212

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<!-- Include core NeuroML2 ComponentType definitions -->
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<Include file="Cells.xml"/>
1515
<Include file="Networks.xml"/>
1616
<Include file="Simulation.xml"/>
17-
17+
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<Include file="PyNN.xml"/>
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<Include file="Inputs.net.nml"/>
20-
20+
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<Simulation id="Sim_Inputs" length="500.0ms" step="0.05ms" target="Inputs" seed="12345"> <!-- Note seed: ensures same random numbers used every run -->
22-
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<Display id="pop_pre_v" title="pop_pre v" timeScale="1ms" xmin="-50.0" xmax="550.0" ymin="-70" ymax="10">
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<Line id="pop_pre v: cell 42" quantity="pop_pre/0/IF_cond_alpha_pop_pre/v" scale="1mV" color="#d54f33" timeScale="1ms"/>
2524
<Line id="pop_pre v: cell 43" quantity="pop_pre/1/IF_cond_alpha_pop_pre/v" scale="1mV" color="#0534e4" timeScale="1ms"/>
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<Line id="pop_pre v: cell 44" quantity="pop_pre/2/IF_cond_alpha_pop_pre/v" scale="1mV" color="#98e752" timeScale="1ms"/>
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<Line id="pop_pre v: cell 45" quantity="pop_pre/3/IF_cond_alpha_pop_pre/v" scale="1mV" color="#bca074" timeScale="1ms"/>
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</Display>
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<OutputFile id="OF_pop_pre_v" fileName="pop_pre_v.dat">
31-
<OutputColumn id="pop_pre_0_IF_cond_alpha_pop_pre_v" quantity="pop_pre/0/IF_cond_alpha_pop_pre/v"/>
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<OutputColumn id="pop_pre_1_IF_cond_alpha_pop_pre_v" quantity="pop_pre/1/IF_cond_alpha_pop_pre/v"/>
33-
<OutputColumn id="pop_pre_2_IF_cond_alpha_pop_pre_v" quantity="pop_pre/2/IF_cond_alpha_pop_pre/v"/>
34-
<OutputColumn id="pop_pre_3_IF_cond_alpha_pop_pre_v" quantity="pop_pre/3/IF_cond_alpha_pop_pre/v"/>
30+
<OutputColumn id="pop_pre_0_IF_cond_alpha_pop_pre_v" quantity="pop_pre/0/IF_cond_alpha_pop_pre/v"/>
31+
<OutputColumn id="pop_pre_1_IF_cond_alpha_pop_pre_v" quantity="pop_pre/1/IF_cond_alpha_pop_pre/v"/>
32+
<OutputColumn id="pop_pre_2_IF_cond_alpha_pop_pre_v" quantity="pop_pre/2/IF_cond_alpha_pop_pre/v"/>
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<OutputColumn id="pop_pre_3_IF_cond_alpha_pop_pre_v" quantity="pop_pre/3/IF_cond_alpha_pop_pre/v"/>
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</OutputFile>
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<EventOutputFile id="Spikes_file_pop_pre" fileName="pop_pre.spikes" format="TIME_ID">
38-
<EventSelection id="0" select="pop_pre/0/IF_cond_alpha_pop_pre" eventPort="spike"/>
39-
<EventSelection id="1" select="pop_pre/1/IF_cond_alpha_pop_pre" eventPort="spike"/>
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<EventSelection id="2" select="pop_pre/2/IF_cond_alpha_pop_pre" eventPort="spike"/>
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<EventSelection id="3" select="pop_pre/3/IF_cond_alpha_pop_pre" eventPort="spike"/>
37+
<EventSelection id="0" select="pop_pre/0/IF_cond_alpha_pop_pre" eventPort="spike"/>
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<EventSelection id="1" select="pop_pre/1/IF_cond_alpha_pop_pre" eventPort="spike"/>
39+
<EventSelection id="2" select="pop_pre/2/IF_cond_alpha_pop_pre" eventPort="spike"/>
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<EventSelection id="3" select="pop_pre/3/IF_cond_alpha_pop_pre" eventPort="spike"/>
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</EventOutputFile>
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</Simulation>
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</Lems>

‎NeuroML2/LEMS_Sim_PyNN_NeuroML2_Export.xml‎

Lines changed: 44 additions & 45 deletions
Original file line numberDiff line numberDiff line change
@@ -1,113 +1,112 @@
11
<Lems>
2-
2+
33
<!--
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This LEMS file has been generated from:
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PyNN v0.10.1
6-
libNeuroML v0.5.5
7-
pyNeuroML v1.1.1
6+
libNeuroML v0.5.8
7+
pyNeuroML v1.1.10
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-->
9-
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<!-- Specify which component to run -->
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<Target component="Sim_PyNN_NeuroML2_Export"/>
1212

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<!-- Include core NeuroML2 ComponentType definitions -->
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<Include file="Cells.xml"/>
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<Include file="Networks.xml"/>
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<Include file="Simulation.xml"/>
17-
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<Include file="PyNN.xml"/>
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<Include file="PyNN_NeuroML2_Export.net.nml"/>
20-
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<Simulation id="Sim_PyNN_NeuroML2_Export" length="500.0ms" step="0.005ms" target="PyNN_NeuroML2_Export" seed="12345"> <!-- Note seed: ensures same random numbers used every run -->
22-
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<Display id="pop_IF_curr_alpha_v" title="pop_IF_curr_alpha v" timeScale="1ms" xmin="-50.0" xmax="550.0" ymin="-70" ymax="10">
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<Line id="pop_IF_curr_alpha v: cell 42" quantity="pop_IF_curr_alpha/0/IF_curr_alpha_pop_IF_curr_alpha/v" scale="1mV" color="#d54f33" timeScale="1ms"/>
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<Line id="pop_IF_curr_alpha v: cell 43" quantity="pop_IF_curr_alpha/1/IF_curr_alpha_pop_IF_curr_alpha/v" scale="1mV" color="#0534e4" timeScale="1ms"/>
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<Line id="pop_IF_curr_alpha v: cell 44" quantity="pop_IF_curr_alpha/2/IF_curr_alpha_pop_IF_curr_alpha/v" scale="1mV" color="#98e752" timeScale="1ms"/>
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</Display>
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<Display id="pop_IF_curr_exp_v" title="pop_IF_curr_exp v" timeScale="1ms" xmin="-50.0" xmax="550.0" ymin="-70" ymax="10">
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<Line id="pop_IF_curr_exp v: cell 45" quantity="pop_IF_curr_exp/0/IF_curr_exp_pop_IF_curr_exp/v" scale="1mV" color="#bca074" timeScale="1ms"/>
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</Display>
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<Display id="pop_IF_cond_alpha_v" title="pop_IF_cond_alpha v" timeScale="1ms" xmin="-50.0" xmax="550.0" ymin="-70" ymax="10">
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<Line id="pop_IF_cond_alpha v: cell 46" quantity="pop_IF_cond_alpha/0/IF_cond_alpha_pop_IF_cond_alpha/v" scale="1mV" color="#632794" timeScale="1ms"/>
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</Display>
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<Display id="pop_IF_cond_exp_v" title="pop_IF_cond_exp v" timeScale="1ms" xmin="-50.0" xmax="550.0" ymin="-70" ymax="10">
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<Line id="pop_IF_cond_exp v: cell 48" quantity="pop_IF_cond_exp/1/IF_cond_exp_pop_IF_cond_exp/v" scale="1mV" color="#8a5d88" timeScale="1ms"/>
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<Line id="pop_IF_cond_exp v: cell 49" quantity="pop_IF_cond_exp/2/IF_cond_exp_pop_IF_cond_exp/v" scale="1mV" color="#df5954" timeScale="1ms"/>
4039
<Line id="pop_IF_cond_exp v: cell 47" quantity="pop_IF_cond_exp/0/IF_cond_exp_pop_IF_cond_exp/v" scale="1mV" color="#52c8bf" timeScale="1ms"/>
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</Display>
42-
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<Display id="pop_EIF_cond_exp_isfa_ista_v" title="pop_EIF_cond_exp_isfa_ista v" timeScale="1ms" xmin="-50.0" xmax="550.0" ymin="-70" ymax="10">
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<Line id="pop_EIF_cond_exp_isfa_ista v: cell 50" quantity="pop_EIF_cond_exp_isfa_ista/0/EIF_cond_exp_isfa_ista_pop_EIF_cond_exp_isfa_ista/v" scale="1mV" color="#bf0239" timeScale="1ms"/>
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</Display>
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<Display id="pop_HH_cond_exp_v" title="pop_HH_cond_exp v" timeScale="1ms" xmin="-50.0" xmax="550.0" ymin="-70" ymax="10">
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<Line id="pop_HH_cond_exp v: cell 51" quantity="pop_HH_cond_exp/0/HH_cond_exp_pop_HH_cond_exp/v" scale="1mV" color="#3f9fe8" timeScale="1ms"/>
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</Display>
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<Display id="pop_post1_v" title="pop_post1 v" timeScale="1ms" xmin="-50.0" xmax="550.0" ymin="-70" ymax="10">
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<Line id="pop_post1 v: cell 52" quantity="pop_post1/0/IF_cond_exp_pop_post1/v" scale="1mV" color="#dda9d2" timeScale="1ms"/>
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</Display>
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<Display id="pop_post2_v" title="pop_post2 v" timeScale="1ms" xmin="-50.0" xmax="550.0" ymin="-70" ymax="10">
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<Line id="pop_post2 v: cell 53" quantity="pop_post2/0/IF_cond_alpha_pop_post2/v" scale="1mV" color="#85ad96" timeScale="1ms"/>
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</Display>
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<OutputFile id="OF_pop_IF_curr_alpha_v" fileName="pop_IF_curr_alpha_v.dat">
60-
<OutputColumn id="pop_IF_curr_alpha_0_IF_curr_alpha_pop_IF_curr_alpha_v" quantity="pop_IF_curr_alpha/0/IF_curr_alpha_pop_IF_curr_alpha/v"/>
61-
<OutputColumn id="pop_IF_curr_alpha_1_IF_curr_alpha_pop_IF_curr_alpha_v" quantity="pop_IF_curr_alpha/1/IF_curr_alpha_pop_IF_curr_alpha/v"/>
62-
<OutputColumn id="pop_IF_curr_alpha_2_IF_curr_alpha_pop_IF_curr_alpha_v" quantity="pop_IF_curr_alpha/2/IF_curr_alpha_pop_IF_curr_alpha/v"/>
59+
<OutputColumn id="pop_IF_curr_alpha_0_IF_curr_alpha_pop_IF_curr_alpha_v" quantity="pop_IF_curr_alpha/0/IF_curr_alpha_pop_IF_curr_alpha/v"/>
60+
<OutputColumn id="pop_IF_curr_alpha_1_IF_curr_alpha_pop_IF_curr_alpha_v" quantity="pop_IF_curr_alpha/1/IF_curr_alpha_pop_IF_curr_alpha/v"/>
61+
<OutputColumn id="pop_IF_curr_alpha_2_IF_curr_alpha_pop_IF_curr_alpha_v" quantity="pop_IF_curr_alpha/2/IF_curr_alpha_pop_IF_curr_alpha/v"/>
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</OutputFile>
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<OutputFile id="OF_pop_IF_curr_exp_v" fileName="pop_IF_curr_exp_v.dat">
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<OutputColumn id="pop_IF_curr_exp_0_IF_curr_exp_pop_IF_curr_exp_v" quantity="pop_IF_curr_exp/0/IF_curr_exp_pop_IF_curr_exp/v"/>
65+
<OutputColumn id="pop_IF_curr_exp_0_IF_curr_exp_pop_IF_curr_exp_v" quantity="pop_IF_curr_exp/0/IF_curr_exp_pop_IF_curr_exp/v"/>
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</OutputFile>
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<OutputFile id="OF_pop_IF_cond_alpha_v" fileName="pop_IF_cond_alpha_v.dat">
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<OutputColumn id="pop_IF_cond_alpha_0_IF_cond_alpha_pop_IF_cond_alpha_v" quantity="pop_IF_cond_alpha/0/IF_cond_alpha_pop_IF_cond_alpha/v"/>
69+
<OutputColumn id="pop_IF_cond_alpha_0_IF_cond_alpha_pop_IF_cond_alpha_v" quantity="pop_IF_cond_alpha/0/IF_cond_alpha_pop_IF_cond_alpha/v"/>
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</OutputFile>
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<OutputFile id="OF_pop_IF_cond_exp_v" fileName="pop_IF_cond_exp_v.dat">
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<OutputColumn id="pop_IF_cond_exp_1_IF_cond_exp_pop_IF_cond_exp_v" quantity="pop_IF_cond_exp/1/IF_cond_exp_pop_IF_cond_exp/v"/>
75-
<OutputColumn id="pop_IF_cond_exp_2_IF_cond_exp_pop_IF_cond_exp_v" quantity="pop_IF_cond_exp/2/IF_cond_exp_pop_IF_cond_exp/v"/>
76-
<OutputColumn id="pop_IF_cond_exp_0_IF_cond_exp_pop_IF_cond_exp_v" quantity="pop_IF_cond_exp/0/IF_cond_exp_pop_IF_cond_exp/v"/>
73+
<OutputColumn id="pop_IF_cond_exp_1_IF_cond_exp_pop_IF_cond_exp_v" quantity="pop_IF_cond_exp/1/IF_cond_exp_pop_IF_cond_exp/v"/>
74+
<OutputColumn id="pop_IF_cond_exp_2_IF_cond_exp_pop_IF_cond_exp_v" quantity="pop_IF_cond_exp/2/IF_cond_exp_pop_IF_cond_exp/v"/>
75+
<OutputColumn id="pop_IF_cond_exp_0_IF_cond_exp_pop_IF_cond_exp_v" quantity="pop_IF_cond_exp/0/IF_cond_exp_pop_IF_cond_exp/v"/>
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</OutputFile>
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<OutputFile id="OF_pop_EIF_cond_exp_isfa_ista_v" fileName="pop_EIF_cond_exp_isfa_ista_v.dat">
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<OutputColumn id="pop_EIF_cond_exp_isfa_ista_0_EIF_cond_exp_isfa_ista_pop_EIF_cond_exp_isfa_ista_v" quantity="pop_EIF_cond_exp_isfa_ista/0/EIF_cond_exp_isfa_ista_pop_EIF_cond_exp_isfa_ista/v"/>
79+
<OutputColumn id="pop_EIF_cond_exp_isfa_ista_0_EIF_cond_exp_isfa_ista_pop_EIF_cond_exp_isfa_ista_v" quantity="pop_EIF_cond_exp_isfa_ista/0/EIF_cond_exp_isfa_ista_pop_EIF_cond_exp_isfa_ista/v"/>
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</OutputFile>
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<OutputFile id="OF_pop_HH_cond_exp_v" fileName="pop_HH_cond_exp_v.dat">
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<OutputColumn id="pop_HH_cond_exp_0_HH_cond_exp_pop_HH_cond_exp_v" quantity="pop_HH_cond_exp/0/HH_cond_exp_pop_HH_cond_exp/v"/>
83+
<OutputColumn id="pop_HH_cond_exp_0_HH_cond_exp_pop_HH_cond_exp_v" quantity="pop_HH_cond_exp/0/HH_cond_exp_pop_HH_cond_exp/v"/>
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</OutputFile>
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<OutputFile id="OF_pop_post1_v" fileName="pop_post1_v.dat">
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<OutputColumn id="pop_post1_0_IF_cond_exp_pop_post1_v" quantity="pop_post1/0/IF_cond_exp_pop_post1/v"/>
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<OutputColumn id="pop_post1_0_IF_cond_exp_pop_post1_v" quantity="pop_post1/0/IF_cond_exp_pop_post1/v"/>
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</OutputFile>
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<OutputFile id="OF_pop_post2_v" fileName="pop_post2_v.dat">
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<OutputColumn id="pop_post2_0_IF_cond_alpha_pop_post2_v" quantity="pop_post2/0/IF_cond_alpha_pop_post2/v"/>
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<OutputColumn id="pop_post2_0_IF_cond_alpha_pop_post2_v" quantity="pop_post2/0/IF_cond_alpha_pop_post2/v"/>
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</OutputFile>
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<EventOutputFile id="Spikes_file_pop_IF_curr_alpha" fileName="pop_IF_curr_alpha.spikes" format="TIME_ID">
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<EventSelection id="0" select="pop_IF_curr_alpha/0/IF_curr_alpha_pop_IF_curr_alpha" eventPort="spike"/>
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<EventSelection id="1" select="pop_IF_curr_alpha/1/IF_curr_alpha_pop_IF_curr_alpha" eventPort="spike"/>
98-
<EventSelection id="2" select="pop_IF_curr_alpha/2/IF_curr_alpha_pop_IF_curr_alpha" eventPort="spike"/>
95+
<EventSelection id="0" select="pop_IF_curr_alpha/0/IF_curr_alpha_pop_IF_curr_alpha" eventPort="spike"/>
96+
<EventSelection id="1" select="pop_IF_curr_alpha/1/IF_curr_alpha_pop_IF_curr_alpha" eventPort="spike"/>
97+
<EventSelection id="2" select="pop_IF_curr_alpha/2/IF_curr_alpha_pop_IF_curr_alpha" eventPort="spike"/>
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</EventOutputFile>
100-
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<EventOutputFile id="Spikes_file_pop_IF_cond_exp" fileName="pop_IF_cond_exp.spikes" format="TIME_ID">
102-
<EventSelection id="1" select="pop_IF_cond_exp/1/IF_cond_exp_pop_IF_cond_exp" eventPort="spike"/>
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<EventSelection id="2" select="pop_IF_cond_exp/2/IF_cond_exp_pop_IF_cond_exp" eventPort="spike"/>
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<EventSelection id="0" select="pop_IF_cond_exp/0/IF_cond_exp_pop_IF_cond_exp" eventPort="spike"/>
101+
<EventSelection id="1" select="pop_IF_cond_exp/1/IF_cond_exp_pop_IF_cond_exp" eventPort="spike"/>
102+
<EventSelection id="2" select="pop_IF_cond_exp/2/IF_cond_exp_pop_IF_cond_exp" eventPort="spike"/>
103+
<EventSelection id="0" select="pop_IF_cond_exp/0/IF_cond_exp_pop_IF_cond_exp" eventPort="spike"/>
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</EventOutputFile>
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<EventOutputFile id="Spikes_file_pop_EIF_cond_exp_isfa_ista" fileName="pop_EIF_cond_exp_isfa_ista.spikes" format="TIME_ID">
108-
<EventSelection id="0" select="pop_EIF_cond_exp_isfa_ista/0/EIF_cond_exp_isfa_ista_pop_EIF_cond_exp_isfa_ista" eventPort="spike"/>
107+
<EventSelection id="0" select="pop_EIF_cond_exp_isfa_ista/0/EIF_cond_exp_isfa_ista_pop_EIF_cond_exp_isfa_ista" eventPort="spike"/>
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</EventOutputFile>
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‎NeuroML2/Positions.net.nml.h5‎

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‎NeuroML2/PyNN_NeuroML2_Export.net.nml‎

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<notes>
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This NeuroML 2 file has been generated from:
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PyNN v0.10.1
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libNeuroML v0.5.5
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pyNeuroML v1.1.1
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libNeuroML v0.5.8
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pyNeuroML v1.1.10
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</notes>
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<IF_curr_alpha id="IF_curr_alpha_pop_IF_curr_alpha" cm="1.0" i_offset="0.9" tau_syn_E="2.0" tau_syn_I="5.0" v_init="-65.0" tau_m="20.0" tau_refrac="10.0" v_reset="-62.0" v_rest="-65.0" v_thresh="-52.0"/>
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<IF_curr_exp id="IF_curr_exp_pop_IF_curr_exp" cm="1.0" i_offset="1.0" tau_syn_E="2.0" tau_syn_I="5.0" v_init="-65.0" tau_m="20.0" tau_refrac="8.0" v_reset="-70.0" v_rest="-65.0" v_thresh="-50.0"/>

‎PyNN/LEMS_2007One_pynn.py‎

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This PyNN file has been generated by org.neuroml.export (see https://github.com/NeuroML/org.neuroml.export)
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org.neuroml.export v1.9.1
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org.neuroml.model v1.9.1
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jLEMS v0.10.8
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org.neuroml.export v1.10.0
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org.neuroml.model v1.10.0
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jLEMS v0.11.0
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'''
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# Main PyNN script for: net1

‎PyNN/RS.mod‎

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COMMENT
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This NEURON file has been generated by org.neuroml.export (see https://github.com/NeuroML/org.neuroml.export)
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org.neuroml.export v1.9.1
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org.neuroml.model v1.9.1
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jLEMS v0.10.8
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org.neuroml.export v1.10.0
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org.neuroml.model v1.10.0
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jLEMS v0.11.0
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ENDCOMMENT
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‎PyNN/RS_Iext.mod‎

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COMMENT
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This NEURON file has been generated by org.neuroml.export (see https://github.com/NeuroML/org.neuroml.export)
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org.neuroml.export v1.9.1
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org.neuroml.model v1.9.1
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jLEMS v0.10.8
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org.neuroml.export v1.10.0
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org.neuroml.model v1.10.0
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jLEMS v0.11.0
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