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              <p>Previous experimental data indicates the hyperpolarization-activated cation (Ih ) current, in the inner ear, consists of two components [different hyperpolarization-activated cyclic nucleotide-gated (HCN) subunits] which are impossible to pharmacologically isolate. To confirm the presence of these two components in vestibular ganglion neurons we have applied a parameter identification algorithm which is able to discriminate the parameters of the two components from experimental data. Using simulated data we have shown that this algorithm is able to identify the parameters of two populations of non-inactivated ionic channels more accurately than a classical method. Moreover, the algorithm was demonstrated to be insensitive to the key parameter variations. We then applied this algorithm to Ih current recordings from mouse vestibular ganglion neurons. The algorithm revealed the presence of a high-voltage-activated slow component and a low-voltage-activated fast component. Finally, the electrophysiological significance of these two Ih components was tested individually in computational vestibular ganglion neuron models (sustained and transient), in the control case and in the presence of cAMP, an intracellular cyclic nucleotide that modulates HCN channel activity. The results suggest that, first, the fast and slow components modulate differently the action potential excitability and the excitatory postsynaptic potentials in both sustained and transient vestibular neurons and, second, the fast and slow components, in the control case, provide different information about characteristics of the stimulation and this information is significantly modified after modulation by cAMP.</p>
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              <addrLine>2004 route des Lucioles BP 93 06902 Sophia Antipolis</addrLine>
              <country key="FR"/>
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            <ref type="url">http://www.inria.fr/centre/sophia/</ref>
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            <relation active="#struct-300009" type="direct"/>
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        <org type="institution" xml:id="struct-300009" status="VALID">
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          <orgName>Institut National de Recherche en Informatique et en Automatique</orgName>
          <orgName type="acronym">Inria</orgName>
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              <addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine>
              <country key="FR"/>
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            <ref type="url">http://www.inria.fr/en/</ref>
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        <org type="institution" xml:id="struct-92690" status="OLD">
          <orgName>Université Montpellier 2 - Sciences et Techniques</orgName>
          <orgName type="acronym">UM2</orgName>
          <date type="end">2014-12-31</date>
          <desc>
            <address>
              <addrLine>Place Eugène Bataillon - 34095 Montpellier cedex 5</addrLine>
              <country key="FR"/>
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            <ref type="url">http://www.univ-montp2.fr/</ref>
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        <org type="institution" xml:id="struct-300609" status="VALID">
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              <country key="FR"/>
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        <org type="institution" xml:id="struct-303623" status="VALID">
          <idno type="IdRef">026388278</idno>
          <idno type="ROR">https://ror.org/02vjkv261</idno>
          <orgName>Institut National de la Santé et de la Recherche Médicale</orgName>
          <orgName type="acronym">INSERM</orgName>
          <desc>
            <address>
              <addrLine>101, rue de Tolbiac, 75013 Paris</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.inserm.fr</ref>
          </desc>
        </org>
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</TEI>