<?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 neither exact positions nor connection instances are specified. Only a pattern for
    placing the population and a set of connectivity rules are described. </meta:notes>


    <populations>
        
        <population name="CellGroupA" cell_type="CellA">
            
            <pop_location>     <!-- A number of cells are arranged randomly in 3D space in a spherical region-->
                <random_arrangement>
                    <population_size>200</population_size>
                    <spherical_location>
                        <meta:center x="0" y="0" z="0" diameter="100"/>
                    </spherical_location>
                </random_arrangement>
            </pop_location>
        </population>
        
        <population name="CellGroupB" cell_type="CellB">
            
            <pop_location>     <!-- A number of cells are arranged in 3D space in a spherical region-->
                <random_arrangement>
                    <population_size>50</population_size>
                    <spherical_location>
                        <meta:center x="100" y="0" z="0" diameter="100"/>
                    </spherical_location>
                </random_arrangement>
            </pop_location>
        </population>
        
    </populations>
    
    

    <projections units="Physiological Units">
        <projection name="NetworkConnection" source="CellGroupA" target="CellGroupA">
            
            <synapse_props synapse_type="DoubExpSynA" internal_delay="5" weight="1" threshold="-20"/>
            
            <connectivity_pattern>
                <per_cell_connection direction = "PreToPost" num_per_source= "3" max_per_target = "2"/>
            </connectivity_pattern>
        </projection>
    </projections>

    
    
    <inputs units="SI Units">
        
        <input name="RandomInput"> <!-- A random 20Hz stimulation applied to 50% of the cells -->
            <random_stim frequency="20" synaptic_mechanism="DoubExpSynA" />
            <target population="CellGroupA">
                <site_pattern>
                    <percentage_cells percentage="50"/>
                </site_pattern>
            </target>
        </input>
    </inputs>
        
        
        
</networkml>