<?xml version="1.0" encoding="UTF-8"?> <neuroml xmlns="http://morphml.org/neuroml/schema" xmlns:mml="http://morphml.org/morphml/schema" xmlns:nml="http://morphml.org/networkml/schema" xmlns:meta="http://morphml.org/metadata/schema" xmlns:bio="http://morphml.org/biophysics/schema" xmlns:cml="http://morphml.org/channelml/schema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://morphml.org/neuroml/schema http://www.neuroml.org/NeuroMLValidator/NeuroMLFiles/Schemata/v1.8.0/Level3/NeuroML_Level3_v1.8.0.xsd" name = "NeuroML Cell Level 1, 2, 3 file written by Aditya Gilra" lengthUnits="micron"> <meta:notes>author: Aditya Gilra adapted from Migliore and Shepherd 2008.</meta:notes> <cells> <cell name="granule"> <meta:notes>Cell: granule morphml written by hand by Aditya.</meta:notes> <segments xmlns="http://morphml.org/morphml/schema"> <!-- Changing the namespace from neuroml to morphml--> <!-- Section: soma --> <segment id="0" name = "soma" cable = "0"> <!-- soma is somagc of gc.hoc of Migliore and Shepherd 2008. --> <proximal x="0" y="0" z="0" diameter="8"/> <distal x="0" y="0" z="8" diameter="8"/> </segment> <!-- Section: periphery --> <segment id="1" name = "periphery" parent="0" cable = "1"> <!-- periphery is priden of gc.hoc of Migliore and Shepherd 2008. --> <proximal x="0" y="0" z="8" diameter="0.5"/> <distal x="0" y="0" z="258" diameter="0.5"/> </segment> <!-- I have left out all the other dendrites priden2[] of 100 micron length in Migliore and Shepherd. So, I increased the priden i.e. periphery length to 250 microns instead of 150microns. --> <!-- Sub-linear summation perhaps because of same dendrite --> </segments> <cables xmlns="http://morphml.org/morphml/schema"> <!-- Changing namespace from neuroml to morphml--> <cable id = "0" name = "soma" fract_along_parent = "0"/> <cable id = "1" name = "periphery" fract_along_parent = "1"/> <cablegroup name="all"> <cable id = "0"/> <cable id = "1"/> </cablegroup> <cablegroup name="soma"> <cable id = "0"/> </cablegroup> <cablegroup name="periphery"> <cable id = "1"/> </cablegroup> </cables> <biophysics units='Physiological Units'> <!-- Note: values of cond dens are different in NEURON and phy units--> <bio:mechanism xmlns:bio='http://morphml.org/biophysics/schema' passive_conductance='true' type='Channel Mechanism' name='pas'> <!-- Both Migliore and Shepherd 2008 and Egger et al 2003 say taum = 30ms, Rin=1GOhm. So set RM and CM for it. See however, Carleton et al 2003 who have taum=14ms in mice, and Cang&Isaacson2003 have much sharper mit->gran EPSPs than obtained by taum=30ms. --> <bio:parameter name='gmax' value='0.13333'> <!-- RM = 30e-3/CM = 0.75 Ohm-m^2. Thus GM = 1/0.75 = 1.3333 S/m^2 = 0.13333 mS/cm^2 --> <bio:group>all</bio:group> </bio:parameter> <bio:parameter name='e' value='-65'> <bio:group>all</bio:group> </bio:parameter> </bio:mechanism> <bio:spec_capacitance xmlns:bio='http://morphml.org/biophysics/schema'> <bio:parameter value='4'> <!-- CM = 0.04 F/m^2 = 4 microF/cm^2 : Seems too high compared to usual 0.01 F?m^2! --> <bio:group>all</bio:group> </bio:parameter> </bio:spec_capacitance> <bio:spec_axial_resistance xmlns:bio='http://morphml.org/biophysics/schema'> <bio:parameter value='0.08'> <!-- 0.8 Ohm-m = 0.08 KOhm-cm --> <bio:group>all</bio:group> </bio:parameter> </bio:spec_axial_resistance> <bio:init_memb_potential> <bio:parameter value="-65"> <bio:group>all</bio:group> </bio:parameter> </bio:init_memb_potential> </biophysics> <connectivity> <!-- These synapse_types do not correspond to actual synapses in /library. Rather, they must be used by network generators to map these synapse_types into say AMPA/NMDA etc. In any case, these only represent potential locations and not actually realized ones. --> <nml:potential_syn_loc synapse_type="mitral_granule" synapse_direction="post"> <nml:group>periphery</nml:group> <!-- periphery compartments --> </nml:potential_syn_loc> <nml:potential_syn_loc synapse_type="granule_mitral" synapse_direction="pre"> <nml:group>periphery</nml:group> <!-- periphery compartments --> </nml:potential_syn_loc> </connectivity> </cell> </cells> </neuroml>