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  <titleInfo>
    <title>Stochastic biomathematical models</title>
    <subTitle>with applications to neuronal modeling</subTitle>
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  <name type="personal">
    <namePart>Bachar, Mostafa.</namePart>
  </name>
  <name type="personal">
    <namePart>Batzel, Jerry J.</namePart>
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  <name type="personal">
    <namePart>Ditlevsen, Susanne.</namePart>
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    <publisher>Springer</publisher>
    <dateIssued>c2013</dateIssued>
    <dateIssued encoding="marc">2013</dateIssued>
    <issuance>monographic</issuance>
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    <extent>xvi, 206 p. : ill. ; 24 cm.</extent>
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  <tableOfContents>1. Introduction to stochastic models in biology -- 2. One-dimensional homogeneous diffusions -- 3. A brief introduction to large deviations theory -- 4. Some numerical methods for rare events simulation and analysis -- 5. Stochastic Integrate and Fire models: a review on mathematical methods and their applications -- 6. Stochastic partial differential equations in Neurobiology: linear and nonlinear models for spiking neurons -- 7. Deterministic and stochastic FitzHugh-Nagumo systems -- 8. Stochastic modeling of spreading cortical depression.</tableOfContents>
  <note type="statement of responsibility">Mostafa Bachar, Jerry Batzel, Susanne Ditlevsen, editors.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Neurons</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Stochastic models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Computational neuroscience</topic>
  </subject>
  <subject authority="mesh">
    <topic>Neurons</topic>
  </subject>
  <subject authority="mesh">
    <topic>Models, Neurological</topic>
  </subject>
  <subject authority="mesh">
    <topic>Stochastic Processes</topic>
  </subject>
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      <title>Stochastic biomathematical models</title>
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    <identifier type="local">(OCoLC)819508537</identifier>
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      <title>Lecture notes in mathematics (Springer-Verlag)</title>
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  <identifier type="isbn">9783642321566 (alk. paper)</identifier>
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