<?xml version="1.0" encoding="UTF-8"?>
<!--
This example shows a Level 3 compliant file, containing a simple network
-->
<networkml xmlns="http://morphml.org/networkml/schema"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:meta="http://morphml.org/metadata/schema"
xsi:schemaLocation="http://morphml.org/networkml/schema
http://www.neuroml.org/NeuroMLValidator/NeuroMLFiles/Schemata/v1.8.1/Level3/NetworkML_v1.8.1.xsd"
length_units="micrometer">
<meta:notes>A simple network where instances of cell populations, connections,
etc. are specified. Note cell morphologies and the associated channel
mchanisms and synapses would be specified in separate files</meta:notes>
<populations>
<population name="PopA" cell_type="CellA">
<!-- All instances specified-->
<instances size="2">
<instance id="0"><location x="0" y="0" z="0"/></instance>
<instance id="1"><location x="10" y="0" z="0"/></instance>
</instances>
</population>
<population name="PopB" cell_type="CellB">
<!-- All instances specified-->
<instances size="3">
<instance id="0"><location x="0" y="100" z="0"/></instance>
<instance id="1"><location x="10" y="100" z="0"/></instance>
<instance id="2"><location x="20" y="100" z="0"/></instance>
</instances>
</population>
</populations>
<projections units="Physiological Units">
<projection name="NetworkConnection" source="PopA" target="PopB">
<synapse_props synapse_type="DoubExpSynA" internal_delay="5" weight="1" threshold="-20"/>
<connections>
<!-- All connection instances specified-->
<connection id="0" pre_cell_id="0" pre_segment_id = "1"
post_cell_id="1" post_segment_id = "0" post_fraction_along = "0.25"/>
<connection id="1" pre_cell_id="1" pre_segment_id = "1" post_cell_id="0"> <!-- default segment_id is 0 -->
<properties weight="0.5"/> <!-- adjusted value -->
</connection>
</connections>
</projection>
</projections>
<inputs units="SI Units">
<input name="PulseInput">
<pulse_input delay="0.010" duration="0.080" amplitude="1e-11" />
<target population="PopA">
<sites>
<site cell_id="0" /> <!-- default segment_id is 0, fraction_along is 0.5 -->
</sites>
</target>
</input>
<input name="RandomInput">
<random_stim frequency="50" synaptic_mechanism="DoubExpSyn" />
<target population="PopB">
<sites>
<site cell_id="1" segment_id = "1"/>
<site cell_id="2" segment_id = "1" fraction_along = "0.75"/>
</sites>
</target>
</input>
</inputs>
</networkml>
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