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pgleesonpgleeson
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Merge pull request #5 from OpenSourceBrain/development
Regenerated files
2 parents c770b6b + 085bbf7 commit ba09524

11 files changed

Lines changed: 100 additions & 102 deletions

‎NeuroML2/ConnectionsTest.net.nml‎

Lines changed: 14 additions & 14 deletions
Original file line numberDiff line numberDiff line change
@@ -1,9 +1,9 @@
1-
<neuroml xmlns="http://www.neuroml.org/schema/neuroml2" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.neuroml.org/schema/neuroml2 https://raw.github.com/NeuroML/NeuroML2/development/Schemas/NeuroML2/NeuroML_v2.3.xsd" id="ConnectionsTest">
1+
<neuroml xmlns="http://www.neuroml.org/schema/neuroml2" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.neuroml.org/schema/neuroml2 https://raw.github.com/NeuroML/NeuroML2/development/Schemas/NeuroML2/NeuroML_v2.3.1.xsd" id="ConnectionsTest">
22
<notes>
33
This NeuroML 2 file has been generated from:
4-
PyNN v0.10.1
5-
libNeuroML v0.5.5
6-
pyNeuroML v1.1.1
4+
PyNN v0.11.0
5+
libNeuroML v0.6.1
6+
pyNeuroML v1.3.0
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 @@
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<property tag="radius" value="5"/>
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<property tag="color" value="0 0.6 0"/>
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<instance id="0">
20-
<location x="-32.186643403808567" y="-17.354649054736583" z="-65.493481332544846"/>
20+
<location x="6.55752035082775" y="-55.101608757626927" z="6.981516190191916"/>
2121
</instance>
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<instance id="1">
23-
<location x="-67.354645297143236" y="-4.19796344220984" z="-43.49873410003169"/>
23+
<location x="-2.602671684808056" y="-39.761020925957325" z="25.346195658415628"/>
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</instance>
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<instance id="2">
26-
<location x="71.797570419985519" y="18.947079504991638" z="-12.907315815267673"/>
26+
<location x="60.297517617959343" y="8.289307571080951" z="-0.022333347222747"/>
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</instance>
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<instance id="3">
29-
<location x="-52.406762043828394" y="6.010609135001554" z="-58.236579579123649"/>
29+
<location x="2.613828069929669" y="-45.796432341605083" z="86.733836100834182"/>
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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="0.531714467416378" y="87.099654948109091" z="-17.361254599683317"/>
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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="46.07768717786891" y="147.596039699497055" z="33.789897869097828"/>
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</instance>
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<instance id="1">
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<location x="-65.391507421071694" y="215.929509183693398" z="53.214475027961086"/>
42+
<location x="67.156651487943805" y="137.770407334287484" z="-11.385096396535133"/>
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</instance>
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<instance id="2">
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<location x="-25.558099064460361" y="219.63712563909769" z="-87.608059485643892"/>
45+
<location x="-17.731870485797629" y="265.87748299576765" z="70.934700271910245"/>
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</instance>
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<instance id="3">
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<location x="57.458557554047054" y="140.98406076648115" z="-24.288796136764446"/>
48+
<location x="11.966381064465414" y="158.128789481071806" z="-37.737564964573721"/>
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</instance>
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<instance id="4">
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<location x="78.618467098550227" y="180.149183458113185" z="-55.213241499240318"/>
51+
<location x="74.331123762886449" y="241.146127877417939" z="50.500458145559037"/>
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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: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -1,9 +1,9 @@
1-
<neuroml xmlns="http://www.neuroml.org/schema/neuroml2" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.neuroml.org/schema/neuroml2 https://raw.github.com/NeuroML/NeuroML2/development/Schemas/NeuroML2/NeuroML_v2.3.xsd" id="Inputs">
1+
<neuroml xmlns="http://www.neuroml.org/schema/neuroml2" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.neuroml.org/schema/neuroml2 https://raw.github.com/NeuroML/NeuroML2/development/Schemas/NeuroML2/NeuroML_v2.3.1.xsd" id="Inputs">
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<notes>
33
This NeuroML 2 file has been generated from:
4-
PyNN v0.10.1
5-
libNeuroML v0.5.5
6-
pyNeuroML v1.1.1
4+
PyNN v0.11.0
5+
libNeuroML v0.6.1
6+
pyNeuroML v1.3.0
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</notes>
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<pulseGenerator id="DCSource_DCSource_0" delay="50.0ms" duration="350.0ms" amplitude="0.9nA"/>
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<compoundInput id="ACSource_ACSource_1">

‎NeuroML2/LEMS_Sim_Inputs.xml‎

Lines changed: 18 additions & 19 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:
5-
PyNN v0.10.1
6-
libNeuroML v0.5.5
7-
pyNeuroML v1.1.1
5+
PyNN v0.11.0
6+
libNeuroML v0.6.1
7+
pyNeuroML v1.3.0
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-->
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<!-- Specify which component to run -->
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<Target component="Sim_Inputs"/>
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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"/>
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<Include file="PyNN.xml"/>
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<Include file="Inputs.net.nml"/>
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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 -->
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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"/>
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<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">
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<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"/>
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<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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<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"/>
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<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">
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<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"/>
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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"/>
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<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"/>
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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"/>
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</EventOutputFile>
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</Simulation>
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</Lems>

‎NeuroML2/LEMS_Sim_PyNN_NeuroML2_Export.xml‎

Lines changed: 45 additions & 46 deletions
Original file line numberDiff line numberDiff line change
@@ -1,113 +1,112 @@
11
<Lems>
2-
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33
<!--
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This LEMS file has been generated from:
5-
PyNN v0.10.1
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libNeuroML v0.5.5
7-
pyNeuroML v1.1.1
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PyNN v0.11.0
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libNeuroML v0.6.1
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pyNeuroML v1.3.0
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-->
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<!-- Specify which component to run -->
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<Target component="Sim_PyNN_NeuroML2_Export"/>
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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"/>
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<Include file="PyNN.xml"/>
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<Include file="PyNN_NeuroML2_Export.net.nml"/>
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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 -->
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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"/>
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<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>
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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">
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<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"/>
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<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"/>
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<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"/>
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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"/>
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<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"/>
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<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">
84-
<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">
88-
<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">
92-
<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"/>
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<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"/>
9998
</EventOutputFile>
100-
99+
101100
<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"/>
103-
<EventSelection id="2" select="pop_IF_cond_exp/2/IF_cond_exp_pop_IF_cond_exp" eventPort="spike"/>
104-
<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"/>
105104
</EventOutputFile>
106-
105+
107106
<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"/>
109108
</EventOutputFile>
110-
109+
111110
</Simulation>
112111

113112
</Lems>

‎NeuroML2/Positions.net.nml.h5‎

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