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

<!--
    This example shows a Level 3 compliant file, containing a number of connected cell models  
-->


<neuroml xmlns="http://morphml.org/neuroml/schema"  
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xmlns:net="http://morphml.org/networkml/schema"
    xmlns:mml="http://morphml.org/morphml/schema"
    xmlns:meta="http://morphml.org/metadata/schema"
    xmlns:bio="http://morphml.org/biophysics/schema"  
    xmlns:cml="http://morphml.org/channelml/schema"  
    xsi:schemaLocation="http://morphml.org/neuroml/schema http://www.neuroml.org/NeuroMLValidator/NeuroMLFiles/Schemata/v1.8.1/Level3/NeuroML_Level3_v1.8.1.xsd"
    length_units="micrometer"
>

                        

    
<meta:notes>A completely specified network in NeuroML Level 3. While this is useful for
    exporting/importing/saving from an application, better practice might be to have the cell
    definitions, the channel mechanisms, and network specification in separate files.
</meta:notes>

    
                      
<!-- The cell types present in the network-->
                      
    
<cells>
        
<cell name="CellA">
            
<meta:notes>Test cell for showing how channels can be placed on a cell</meta:notes>
        
            
<segments xmlns="http://morphml.org/morphml/schema">
                
<segment id ="0" name="Soma"  cable="0">
                    
<proximal x="0" y="0" z="0" diameter="10"/>
                    
<distal x="10" y="0" z="0" diameter="10"/>
                
</segment>
                
<segment id ="1" name="Dendrite" parent="0" cable="1">
                    
<proximal x="10" y="0" z="0" diameter="3"/>
                    
<distal x="20" y="0" z="0" diameter="3"/>
                
</segment>
            
</segments>

            
<cables xmlns="http://morphml.org/morphml/schema">
                
<cable id="0" name="SomaCable">
                    
<meta:group>soma_group</meta:group>
                
</cable>
                
<cable id="1" name="DendriteCable">
                    
<meta:group>dendrite_group</meta:group>
                
</cable>
            
</cables>
                    
            
<biophysics  units="Physiological Units" >  
                
<bio:mechanism name="pas"  type="Channel Mechanism">
                    
<bio:parameter name="gmax" value="0.0330033">
                        
<bio:group>all</bio:group>
                    
</bio:parameter>
                
</bio:mechanism>
                
<bio:spec_capacitance>
                    
<bio:parameter value="1.0">
                        
<bio:group>all</bio:group>
                    
</bio:parameter>
                
</bio:spec_capacitance>
                
<bio:spec_axial_resistance>
                    
<bio:parameter value="0.1">
                        
<bio:group>all</bio:group>
                    
</bio:parameter>
                
</bio:spec_axial_resistance>
            
</biophysics>
              
            
            
<!-- Note: this doesn't need to be specified in the network instance case,
                 but would be used when generating connections in the network template scenario. Can be
                 used to limit connections of a particular type to, say, apical dendrites -->

                    
            
<connectivity>
                
<net:potential_syn_loc synapse_type="DoubExpSynA" synapse_direction="preAndOrPost">
                    
<net:group>soma_group</net:group>
                
</net:potential_syn_loc>              
                
<net:potential_syn_loc synapse_type="DoubExpSynA" synapse_direction="post">
                    
<net:group>dendrite_group</net:group>
                
</net:potential_syn_loc>
            
</connectivity>
            
        
</cell>
    
</cells>
    
    
                      
<!-- The biophysical mechanisms present in the network-->
    
    
<channels units="Physiological Units">

        
<channel_type name="pas" density="yes"   xmlns="http://morphml.org/channelml/schema">
            
<meta:notes>Simple example of a leak/passive conductance.</meta:notes>
            
<current_voltage_relation cond_law="ohmic" ion="non_specific" default_erev="-54.3" default_gmax="0.3"/>
        
</channel_type>
        
        
<synapse_type name="DoubExpSynA"  xmlns="http://morphml.org/channelml/schema">
            
<doub_exp_syn max_conductance="1.0E-5" rise_time="1" decay_time="2" reversal_potential="0"/>
        
</synapse_type>

    
</channels>
    
    
                      
<!-- The cell populations present in the network-->

    
<populations  xmlns="http://morphml.org/networkml/schema">
        
<population name="CellGroupA" cell_type="CellA">
            
<instances size="3">
                
<instance id="0"><location x="0" y="0" z="0"/></instance>
                
<instance id="1"><location x="50" y="0" z="0"/></instance>
                
<instance id="2"><location x="100" y="0" z="0"/></instance>
            
</instances>
        
</population>
        
<population name="CellGroupB" cell_type="CellA">
            
<instances size="2">
                
<instance id="0"><location x="0" y="100" z="0"/></instance>
                
<instance id="1"><location x="50" y="100" z="0"/></instance>
            
</instances>
        
</population>
    
</populations>
    
    
                      
<!-- The projections between populations in the network-->
    
    
    
<projections units="Physiological Units" xmlns="http://morphml.org/networkml/schema">
        
<projection name="NetworkConnection" source="CellGroupA" target="CellGroupB">
            
            
<synapse_props synapse_type="DoubExpSynA" internal_delay="5" weight="1" threshold="-20"/>
            
            
<connections size="3">
                
<connection id="0" pre_cell_id="0" pre_segment_id = "0" pre_fraction_along="0.5" post_cell_id="1" post_segment_id = "1"/>
                
<connection id="1" pre_cell_id="2" pre_segment_id = "0" post_cell_id="0" post_segment_id = "0"/>
                
<connection id="2" pre_cell_id="1" pre_segment_id = "0" post_cell_id="1" post_segment_id = "1">
                    
<properties internal_delay="10" weight="0.5"/>       <!-- adjusted value -->
                
</connection>
            
</connections>
        
</projection>
    
</projections>
    
                      
<!-- The electrical inputs to the cells in the network -->
    
    
<inputs units="SI Units" xmlns="http://morphml.org/networkml/schema">
        
        
<input name="RandomInputLow">
            
<random_stim frequency="20" synaptic_mechanism="DoubExpSynA" />
            
<target population="CellGroupA">
                
<sites size="2">
                    
<site cell_id="1" />    
                    
<site cell_id="2"  segment_id = "1"/>  
                
</sites>
            
</target>
        
</input>
        
        
<input name="RandomInputHigh">
            
<random_stim frequency="100" synaptic_mechanism="DoubExpSynA" />
            
<target population="CellGroupA">
                
<sites size="1">
                    
<site cell_id="0" />
                
</sites>
            
</target>
        
</input>
        
    
</inputs>


</neuroml>