<?xml version="1.0"?>
<edsp version="3.1" about_me="http://ycmi.med.yale.edu/EAVCR/EDSP" source="Olfactory Receptors Database">
  <source>
    <type>eav/cr</type>
    <name>Data Store:SenseLab</name>
    <location>itts023d.itts.ttu.edu</location>
    <date>5/6/2026 10:54:27 AM</date>
    <query_method>GET</query_method>
    <query_parameter>o=226423</query_parameter>
  </source>
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    <datatypes>
      <datatype id="B" name="Boolean" xml_datatype="xs:boolean" />
      <datatype id="C" name="Object/Ref" xml_datatype="xs:long" />
      <datatype id="D" name="Datetime" xml_datatype="xs:dateTime" />
      <datatype id="F" name="Formula(only)" xml_datatype="xs:anyType" />
      <datatype id="H" name="Hierarchy(p)" xml_datatype="xs:long" />
      <datatype id="I" name="Integer" xml_datatype="xs:long" />
      <datatype id="M" name="Memo" xml_datatype="xs:string" />
      <datatype id="R" name="Real" xml_datatype="xs:double" />
      <datatype id="S" name="String" xml_datatype="xs:string" />
      <datatype id="V" name="Object/Value" xml_datatype="xs:long" />
      <datatype id="W" name="Object/Ref(MC)" xml_datatype="xs:long" />
      <datatype id="Y" name="Binary" xml_datatype="xs:base64Binary" />
    </datatypes>
    <metadata_ontology>
      <sem_type_atts />
      <sem_rel_types />
      <sem_rel_att />
    </metadata_ontology>
    <database id="d2" name="modeldb" caption="ModelDB" caption_long="Model Database" description="ModelDB provides an accessible location for storing and efficiently retrieving compartmental neuron models. ModelDB is tightly coupled with NeuronDB. Models can be coded in any language for any environment, though ModelDB has been initially constructed for use with NEURON and GENESIS. Model code can be viewed before downloading and browsers can be set to auto-launch the models" main_class="19" version="3" version_date="4/12/2002 11:28:19 AM">
      <class id="c97" name="cell" caption="Cell" description="These are the names of neurons and other electrically excitable cells that are represented in models in ModelDB but are not (yet) in NeuronDB" object_description_hide="false" type="E" is_concept="true" host_concepts="true" uid="" version="3" version_date="6/20/2006 10:11:08 AM">
        <att id="a415" dt_id="M" sn="1" name="description" caption="Description" description="Elaborates on the definition of the cell" is_concept="false" host_concepts="false" srt_id="s" sra_id="s" version="2" version_date="5/11/2018 5:48:06 PM" />
        <att id="a416" dt_id="H" sn="2" name="hierarchy" caption="Hierarchy(p)" description="Relationships between concepts, i.e. one concept may be a generalisation of another. The Hierarchy(p) datatype lets you select another current (parent) that this model current is a child of." is_concept="false" host_concepts="true" srt_id="s" sra_id="s" version="1" version_date="4/11/2007 5:38:16 PM" />
        <att id="a503" dt_id="C" sn="3" name="specie" caption="Specie" description="" ref_class="c137" ref_class_name="species" mi="true" is_concept="true" host_concepts="false" srt_id="s" sra_id="s" version="2" version_date="4/26/2013 12:36:28 PM" />
        <att id="a504" dt_id="C" sn="4" name="neuron_category" caption="Neuron Category" description="Neuron category. If none, this cell is not a neuron" ref_class="c43" ref_class_name="Neuron_category" mi="false" is_concept="true" host_concepts="true" srt_id="s" sra_id="s" version="1" version_date="4/26/2013 12:39:26 PM" />
      </class>
    </database>
  </metadata>
  <data time="0.0156248999992386">
    <data_database db_id="d2">
      <data_class class_id="c97" version="3">
        <object id="o226423" name="Multi-timescale adaptive threshold non-resetting leaky integrate and fire" description="" uid="" version="1" version_date="3/30/2017 11:10:31 AM">
          <att_value att_id="a415" value="&quot;When the model potential reaches the spike threshold theta(t), a spike&#xD;&#xA;is generated. In our model, V(t) is not reset even if the model&#xD;&#xA;assumes spikes. Instead, the spike threshold increases when the&#xD;&#xA;model assumes a spike and then decays (sometimes as a sum of exponentials) toward the resting value.&quot; Kobayashi et al 2009" />
          <att_value att_id="a416" value="o154740" value_object_name="Abstract integrate-and-fire leaky neuron" />
        </object>
      </data_class>
    </data_database>
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</edsp>

