<?xml version="1.0" encoding="UTF-8"?>
<channelml xmlns="http://morphml.org/channelml/schema"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:meta="http://morphml.org/metadata/schema"
xsi:schemaLocation="http://morphml.org/channelml/schema http://www.neuroml.org/NeuroMLValidator/NeuroMLFiles/Schemata/v1.8.1/Level2/ChannelML_v1.8.1.xsd"
units="SI Units">
<meta:notes>Excitatory ORN to mitral synapse taken from the paper Djurisic etal 2008 JNeurosci</meta:notes>
<synapse_type name="ORN_mitral">
<status value="in_progress">
<meta:contributor>
<meta:name>Aditya Gilra</meta:name>
</meta:contributor>
</status>
<meta:notes> Dual exponential excitatory ORN to mitral synapse </meta:notes>
<meta:authorList>
<meta:modelAuthor>
<meta:name>Djurisic et al.</meta:name>
</meta:modelAuthor>
<meta:modelTranslator>
<meta:name>Aditya Gilra</meta:name>
<meta:institution>NCBS, India</meta:institution>
<meta:email>adityag@ncbs.res.in</meta:email>
</meta:modelTranslator>
</meta:authorList>
<meta:notes> Djurisic et al gives time course and upper bound on gmax (100 synapses producing uniform at least 4mV EPSP) </meta:notes>
<meta:publication>
<meta:fullTitle>M. Djurisic, M. Popovic, N. Carnevale, and D. Zecevic, “Functional structure of the mitral cell dendritic tuft in the rat olfactory bulb,” JOURNAL OF NEUROSCIENCE, vol. 28, no. 15, pp. 4057-4068, Apr. 2008.</meta:fullTitle>
</meta:publication>
<meta:notes> Zhou et al have 1mV sEPSP in mouse slices, Nickell et al have ~3mV EPSP in rat slices. </meta:notes>
<meta:publication>
<meta:fullTitle>Zhishang Zhou and Leonardo Belluscio, “Intrabulbar Projecting External Tufted Cells Mediate a Timing-Based Mechanism That Dynamically Gates Olfactory Bulb Output,” J. Neurosci. 28, no. 40 (October 1, 2008): 9920-9928.</meta:fullTitle>
</meta:publication>
<meta:publication>
<meta:fullTitle>William T. Nickell, M. T. Shipley, and Michael M. Behbehani, “Orthodromic synaptic activation of rat olfactory bulb mitral cells in isolated slices,” Brain Research Bulletin 39, no. 1 (1996): 57-62.</meta:fullTitle>
</meta:publication>
<meta:neuronDBref>
<meta:modelName></meta:modelName>
<meta:uri></meta:uri>
</meta:neuronDBref>
<!--<doub_exp_syn max_conductance="8.6516e-9" rise_time="1.6094e-3" decay_time="1.6094e-3" reversal_potential="0.0"/>-->
<!-- Djurisic et al 2008 model multiple excitatory+inhibitory conductances over the whole tuft with time course as below.
They also model a single excitatory + inhibitory synapse at the base of the tuft as a proxy to the multiple synapses above.
Since I am modeling multiple synapses in the tuft, I use the former synaptic time course as below. -->
<doub_exp_syn max_conductance="2.5e-9" rise_time="2.84e-3" decay_time="5.99e-3" reversal_potential="0.0"/>
</synapse_type>
</channelml>
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