Skip to content

Regenerated files #5

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
pgleeson merged 4 commits into from
Jun 18, 2024
Merged

Regenerated files #5

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
a29d943
Regenerated files
pgleeson Dec 14, 2023
d7512f6
Regenerated
pgleeson Feb 13, 2024
61ebe4b
Merge branch 'master' into development
pgleeson Jun 17, 2024
085bbf7
Regenerated
pgleeson Jun 17, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
28 changes: 14 additions & 14 deletions NeuroML2/ConnectionsTest.net.nml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,9 +1,9 @@
<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">
<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">
<notes>
This NeuroML 2 file has been generated from:
PyNN v0.10.1
libNeuroML v0.5.5
pyNeuroML v1.1.1
PyNN v0.11.0
libNeuroML v0.6.1
pyNeuroML v1.3.0
</notes>
<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"/>
<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"/>
Expand All @@ -17,38 +17,38 @@
<property tag="radius" value="5"/>
<property tag="color" value="0 0.6 0"/>
<instance id="0">
<location x="-32.186643403808567" y="-17.354649054736583" z="-65.493481332544846"/>
<location x="6.55752035082775" y="-55.101608757626927" z="6.981516190191916"/>
</instance>
<instance id="1">
<location x="-67.354645297143236" y="-4.19796344220984" z="-43.49873410003169"/>
<location x="-2.602671684808056" y="-39.761020925957325" z="25.346195658415628"/>
</instance>
<instance id="2">
<location x="71.797570419985519" y="18.947079504991638" z="-12.907315815267673"/>
<location x="60.297517617959343" y="8.289307571080951" z="-0.022333347222747"/>
</instance>
<instance id="3">
<location x="-52.406762043828394" y="6.010609135001554" z="-58.236579579123649"/>
<location x="2.613828069929669" y="-45.796432341605083" z="86.733836100834182"/>
</instance>
<instance id="4">
<location x="-84.522276311302463" y="-27.093766860654476" z="-28.20137345446372"/>
<location x="0.531714467416378" y="87.099654948109091" z="-17.361254599683317"/>
</instance>
</population>
<population id="pop_post" component="IF_cond_alpha_pop_post" size="5" type="populationList">
<property tag="radius" value="5"/>
<property tag="color" value="0 0.2 0.6"/>
<instance id="0">
<location x="-10.963933858486152" y="160.214056107236161" z="-17.681929175932854"/>
<location x="46.07768717786891" y="147.596039699497055" z="33.789897869097828"/>
</instance>
<instance id="1">
<location x="-65.391507421071694" y="215.929509183693398" z="53.214475027961086"/>
<location x="67.156651487943805" y="137.770407334287484" z="-11.385096396535133"/>
</instance>
<instance id="2">
<location x="-25.558099064460361" y="219.63712563909769" z="-87.608059485643892"/>
<location x="-17.731870485797629" y="265.87748299576765" z="70.934700271910245"/>
</instance>
<instance id="3">
<location x="57.458557554047054" y="140.98406076648115" z="-24.288796136764446"/>
<location x="11.966381064465414" y="158.128789481071806" z="-37.737564964573721"/>
</instance>
<instance id="4">
<location x="78.618467098550227" y="180.149183458113185" z="-55.213241499240318"/>
<location x="74.331123762886449" y="241.146127877417939" z="50.500458145559037"/>
</instance>
</population>
<projection id="pop_pre__TO__pop_post" presynapticPopulation="pop_pre" postsynapticPopulation="pop_post" synapse="syn__pop_pre__TO__pop_post">
Expand Down
8 changes: 4 additions & 4 deletions NeuroML2/Inputs.net.nml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,9 +1,9 @@
<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">
<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">
<notes>
This NeuroML 2 file has been generated from:
PyNN v0.10.1
libNeuroML v0.5.5
pyNeuroML v1.1.1
PyNN v0.11.0
libNeuroML v0.6.1
pyNeuroML v1.3.0
</notes>
<pulseGenerator id="DCSource_DCSource_0" delay="50.0ms" duration="350.0ms" amplitude="0.9nA"/>
<compoundInput id="ACSource_ACSource_1">
Expand Down
37 changes: 18 additions & 19 deletions NeuroML2/LEMS_Sim_Inputs.xml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,46 +1,45 @@
<Lems>

<!--
This LEMS file has been generated from:
PyNN v0.10.1
libNeuroML v0.5.5
pyNeuroML v1.1.1
PyNN v0.11.0
libNeuroML v0.6.1
pyNeuroML v1.3.0
-->

<!-- Specify which component to run -->
<Target component="Sim_Inputs"/>

<!-- Include core NeuroML2 ComponentType definitions -->
<Include file="Cells.xml"/>
<Include file="Networks.xml"/>
<Include file="Simulation.xml"/>

<Include file="PyNN.xml"/>
<Include file="Inputs.net.nml"/>

<Simulation id="Sim_Inputs" length="500.0ms" step="0.05ms" target="Inputs" seed="12345"> <!-- Note seed: ensures same random numbers used every run -->

<Display id="pop_pre_v" title="pop_pre v" timeScale="1ms" xmin="-50.0" xmax="550.0" ymin="-70" ymax="10">
<Line id="pop_pre v: cell 42" quantity="pop_pre/0/IF_cond_alpha_pop_pre/v" scale="1mV" color="#d54f33" timeScale="1ms"/>
<Line id="pop_pre v: cell 43" quantity="pop_pre/1/IF_cond_alpha_pop_pre/v" scale="1mV" color="#0534e4" timeScale="1ms"/>
<Line id="pop_pre v: cell 44" quantity="pop_pre/2/IF_cond_alpha_pop_pre/v" scale="1mV" color="#98e752" timeScale="1ms"/>
<Line id="pop_pre v: cell 45" quantity="pop_pre/3/IF_cond_alpha_pop_pre/v" scale="1mV" color="#bca074" timeScale="1ms"/>
</Display>

<OutputFile id="OF_pop_pre_v" fileName="pop_pre_v.dat">
<OutputColumn id="pop_pre_0_IF_cond_alpha_pop_pre_v" quantity="pop_pre/0/IF_cond_alpha_pop_pre/v"/>
<OutputColumn id="pop_pre_1_IF_cond_alpha_pop_pre_v" quantity="pop_pre/1/IF_cond_alpha_pop_pre/v"/>
<OutputColumn id="pop_pre_2_IF_cond_alpha_pop_pre_v" quantity="pop_pre/2/IF_cond_alpha_pop_pre/v"/>
<OutputColumn id="pop_pre_3_IF_cond_alpha_pop_pre_v" quantity="pop_pre/3/IF_cond_alpha_pop_pre/v"/>
<OutputColumn id="pop_pre_0_IF_cond_alpha_pop_pre_v" quantity="pop_pre/0/IF_cond_alpha_pop_pre/v"/>
<OutputColumn id="pop_pre_1_IF_cond_alpha_pop_pre_v" quantity="pop_pre/1/IF_cond_alpha_pop_pre/v"/>
<OutputColumn id="pop_pre_2_IF_cond_alpha_pop_pre_v" quantity="pop_pre/2/IF_cond_alpha_pop_pre/v"/>
<OutputColumn id="pop_pre_3_IF_cond_alpha_pop_pre_v" quantity="pop_pre/3/IF_cond_alpha_pop_pre/v"/>
</OutputFile>

<EventOutputFile id="Spikes_file_pop_pre" fileName="pop_pre.spikes" format="TIME_ID">
<EventSelection id="0" select="pop_pre/0/IF_cond_alpha_pop_pre" eventPort="spike"/>
<EventSelection id="1" select="pop_pre/1/IF_cond_alpha_pop_pre" eventPort="spike"/>
<EventSelection id="2" select="pop_pre/2/IF_cond_alpha_pop_pre" eventPort="spike"/>
<EventSelection id="3" select="pop_pre/3/IF_cond_alpha_pop_pre" eventPort="spike"/>
<EventSelection id="0" select="pop_pre/0/IF_cond_alpha_pop_pre" eventPort="spike"/>
<EventSelection id="1" select="pop_pre/1/IF_cond_alpha_pop_pre" eventPort="spike"/>
<EventSelection id="2" select="pop_pre/2/IF_cond_alpha_pop_pre" eventPort="spike"/>
<EventSelection id="3" select="pop_pre/3/IF_cond_alpha_pop_pre" eventPort="spike"/>
</EventOutputFile>

</Simulation>

</Lems>
91 changes: 45 additions & 46 deletions NeuroML2/LEMS_Sim_PyNN_NeuroML2_Export.xml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,113 +1,112 @@
<Lems>

<!--
This LEMS file has been generated from:
PyNN v0.10.1
libNeuroML v0.5.5
pyNeuroML v1.1.1
PyNN v0.11.0
libNeuroML v0.6.1
pyNeuroML v1.3.0
-->

<!-- Specify which component to run -->
<Target component="Sim_PyNN_NeuroML2_Export"/>

<!-- Include core NeuroML2 ComponentType definitions -->
<Include file="Cells.xml"/>
<Include file="Networks.xml"/>
<Include file="Simulation.xml"/>

<Include file="PyNN.xml"/>
<Include file="PyNN_NeuroML2_Export.net.nml"/>

<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 -->

<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">
<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"/>
<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"/>
<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"/>
</Display>

<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">
<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"/>
</Display>

<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">
<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"/>
</Display>

<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">
<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"/>
<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"/>
<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"/>
</Display>

<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">
<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"/>
</Display>

<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">
<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"/>
</Display>

<Display id="pop_post1_v" title="pop_post1 v" timeScale="1ms" xmin="-50.0" xmax="550.0" ymin="-70" ymax="10">
<Line id="pop_post1 v: cell 52" quantity="pop_post1/0/IF_cond_exp_pop_post1/v" scale="1mV" color="#dda9d2" timeScale="1ms"/>
</Display>

<Display id="pop_post2_v" title="pop_post2 v" timeScale="1ms" xmin="-50.0" xmax="550.0" ymin="-70" ymax="10">
<Line id="pop_post2 v: cell 53" quantity="pop_post2/0/IF_cond_alpha_pop_post2/v" scale="1mV" color="#85ad96" timeScale="1ms"/>
</Display>

<OutputFile id="OF_pop_IF_curr_alpha_v" fileName="pop_IF_curr_alpha_v.dat">
<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"/>
<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"/>
<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"/>
<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"/>
<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"/>
<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"/>
</OutputFile>

<OutputFile id="OF_pop_IF_curr_exp_v" fileName="pop_IF_curr_exp_v.dat">
<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"/>
<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"/>
</OutputFile>

<OutputFile id="OF_pop_IF_cond_alpha_v" fileName="pop_IF_cond_alpha_v.dat">
<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"/>
<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"/>
</OutputFile>

<OutputFile id="OF_pop_IF_cond_exp_v" fileName="pop_IF_cond_exp_v.dat">
<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"/>
<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"/>
<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"/>
<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"/>
<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"/>
<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"/>
</OutputFile>

<OutputFile id="OF_pop_EIF_cond_exp_isfa_ista_v" fileName="pop_EIF_cond_exp_isfa_ista_v.dat">
<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"/>
<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"/>
</OutputFile>

<OutputFile id="OF_pop_HH_cond_exp_v" fileName="pop_HH_cond_exp_v.dat">
<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"/>
<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"/>
</OutputFile>

<OutputFile id="OF_pop_post1_v" fileName="pop_post1_v.dat">
<OutputColumn id="pop_post1_0_IF_cond_exp_pop_post1_v" quantity="pop_post1/0/IF_cond_exp_pop_post1/v"/>
<OutputColumn id="pop_post1_0_IF_cond_exp_pop_post1_v" quantity="pop_post1/0/IF_cond_exp_pop_post1/v"/>
</OutputFile>

<OutputFile id="OF_pop_post2_v" fileName="pop_post2_v.dat">
<OutputColumn id="pop_post2_0_IF_cond_alpha_pop_post2_v" quantity="pop_post2/0/IF_cond_alpha_pop_post2/v"/>
<OutputColumn id="pop_post2_0_IF_cond_alpha_pop_post2_v" quantity="pop_post2/0/IF_cond_alpha_pop_post2/v"/>
</OutputFile>

<EventOutputFile id="Spikes_file_pop_IF_curr_alpha" fileName="pop_IF_curr_alpha.spikes" format="TIME_ID">
<EventSelection id="0" select="pop_IF_curr_alpha/0/IF_curr_alpha_pop_IF_curr_alpha" eventPort="spike"/>
<EventSelection id="1" select="pop_IF_curr_alpha/1/IF_curr_alpha_pop_IF_curr_alpha" eventPort="spike"/>
<EventSelection id="2" select="pop_IF_curr_alpha/2/IF_curr_alpha_pop_IF_curr_alpha" eventPort="spike"/>
<EventSelection id="0" select="pop_IF_curr_alpha/0/IF_curr_alpha_pop_IF_curr_alpha" eventPort="spike"/>
<EventSelection id="1" select="pop_IF_curr_alpha/1/IF_curr_alpha_pop_IF_curr_alpha" eventPort="spike"/>
<EventSelection id="2" select="pop_IF_curr_alpha/2/IF_curr_alpha_pop_IF_curr_alpha" eventPort="spike"/>
</EventOutputFile>

<EventOutputFile id="Spikes_file_pop_IF_cond_exp" fileName="pop_IF_cond_exp.spikes" format="TIME_ID">
<EventSelection id="1" select="pop_IF_cond_exp/1/IF_cond_exp_pop_IF_cond_exp" eventPort="spike"/>
<EventSelection id="2" select="pop_IF_cond_exp/2/IF_cond_exp_pop_IF_cond_exp" eventPort="spike"/>
<EventSelection id="0" select="pop_IF_cond_exp/0/IF_cond_exp_pop_IF_cond_exp" eventPort="spike"/>
<EventSelection id="1" select="pop_IF_cond_exp/1/IF_cond_exp_pop_IF_cond_exp" eventPort="spike"/>
<EventSelection id="2" select="pop_IF_cond_exp/2/IF_cond_exp_pop_IF_cond_exp" eventPort="spike"/>
<EventSelection id="0" select="pop_IF_cond_exp/0/IF_cond_exp_pop_IF_cond_exp" eventPort="spike"/>
</EventOutputFile>

<EventOutputFile id="Spikes_file_pop_EIF_cond_exp_isfa_ista" fileName="pop_EIF_cond_exp_isfa_ista.spikes" format="TIME_ID">
<EventSelection id="0" select="pop_EIF_cond_exp_isfa_ista/0/EIF_cond_exp_isfa_ista_pop_EIF_cond_exp_isfa_ista" eventPort="spike"/>
<EventSelection id="0" select="pop_EIF_cond_exp_isfa_ista/0/EIF_cond_exp_isfa_ista_pop_EIF_cond_exp_isfa_ista" eventPort="spike"/>
</EventOutputFile>

</Simulation>

</Lems>
Binary file modified NeuroML2/Positions.net.nml.h5
View file
Open in desktop
Binary file not shown.
Loading