<?xml version="1.0" encoding="UTF-8"?>

<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 template describing 2 cell groups in 2D grids, and various ways of connecting them up.
    Based on suggestions from the Facets project.</meta:notes>


    <populations>
        
        <population name="LowerCellGroup" cell_type="CellA">
            
            <pop_location>
                <grid_arrangement>
                    <rectangular_location>
                        <meta:corner x="0" y="0" z="0"/>
                        <meta:size width="100" height="0" depth="100"/>
                    </rectangular_location>
                    <spacing x="10" z="20"/>
                </grid_arrangement>
            </pop_location>
        </population>
        
        <population name="UpperCellGroup" cell_type="CellB">
            
            <pop_location>
                <grid_arrangement>
                    <rectangular_location>
                        <meta:corner x="0" y="50" z="0"/>
                        <meta:size width="100" height="0" depth="100"/>
                    </rectangular_location>
                    <spacing x="10" z="20"/>
                </grid_arrangement>
            </pop_location>
        </population>
        
    </populations>
    

    <projections units="Physiological Units">
        
        <!-- Every pre cell connected to every post cell-->
        
        <projection name="NetworkConnection1" source="LowerCellGroup" target="UpperCellGroup">
            
            <synapse_props synapse_type="DoubExpSynA" internal_delay="5" weight="1" threshold="-20"/>
            
            <connectivity_pattern>
                <all_to_all/>
            </connectivity_pattern>
        </projection>
        
        
        <!-- Fixed prob of pre cell connected to post cell-->
        
        <projection name="NetworkConnection2" source="LowerCellGroup" target="UpperCellGroup">
            
            <synapse_props synapse_type="DoubExpSynA" internal_delay="5" weight="1" threshold="-20"/>
            
            <connectivity_pattern>
                <fixed_probability probability="0.5"/>
            </connectivity_pattern>
        </projection>
        
        
        <!-- Fixed number of connections per postsynaptic cell-->

        <projection name="NetworkConnection3" source="LowerCellGroup" target="UpperCellGroup">

            <synapse_props synapse_type="DoubExpSynA" internal_delay="5" weight="1" threshold="-20"/>

            <connectivity_pattern>
                <per_cell_connection direction = "PostToPre" num_per_source= "2"/>
            </connectivity_pattern>
        </projection>
        
    </projections>
    
    


</networkml>