rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Computational neuroscience
  name:
    name part: Blackwell, Kim T.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: mau
    date issued: 2014
    copyright date: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (436 pages, color plates) : illustrations
  abstract: Progress in Molecular Biology and Translational Science provides a forum for discussion of new discoveries, approaches, and ideas in molecular biology. It contains contributions from leaders in their fields and abundant references. This volume brings together different aspects of, and approaches to, molecular and multi-scale modeling, with applications to a diverse range of neurological diseases. Mathematical and computational modeling offers a powerful approach for examining the interaction between molecular pathways and ionic channels in producing neuron electrical activity.
  table of contents: Front Cover; Computational Neuroscience; Copyright; Contents; Contributors; Preface; Chapter One: Markov Modeling of Ion Channels: Implications for Understanding Disease; 1. Why Do We Need Modeling?; 1.1. Ion channel diseases: Mutations focus attention on ion channels; 1.2. Structure and function of voltage-gated sodium channels; 1.3. Epilepsy and pain can be induced by sodium channel mutations; 1.4. How can Markov models help understand the pathophysiology of channelopathies?; 2. Markov Models Built Based on Whole-Cell Patch-Clamp Data; 3. Practical Considerations for Fitting Models to Data.
  table of contents: 3.1. Fitting experimental data to Markov models4. Conclusion and Outlook; Acknowledgments; References; Chapter Two: Ionic Mechanisms in Peripheral Pain; 1. Biological Background; 2. Modeling of Peripheral Pain; 2.1. Role of Na currents; 2.2. Role of Ih; 2.3. Subthreshold spontaneous oscillations; 2.4. Repetitive spiking; 2.5. Changes in the central terminal, windup; 2.6. Models of action potential propagation; 3. In Silico Pharmacology; 3.1. Pharmaceutical target approach; 3.2. Advantages of modeling approaches; 3.3. Constructing models from data; 3.4. Quality of solution and model.
  table of contents: 3.5. An example of applying computational search and addressing robustness4. Conclusion; References; Chapter Three: Implications of Cellular Models of Dopamine Neurons for Schizophrenia; 1. Dopamine Neuron Electrophysiology; 2. Depolarization Block Hypothesis of Antipsychotic Drug Action; 3. Computational Model of Pacemaking and Depolarization Block; 4. Availability of Sodium Current Controls Entry into DP Block; 5. The Ether-a-Go-Go-Related Gene Potassium Channel and Schizophrenia; 6. ERG Conductance Both Delays Entry into and Speeds Recovery from Depolarization Block.
  table of contents: 7. Computational Model of Bursting and DP Block8. Conclusions; Acknowledgment; Appendix: Full Model Equations and Parameters; References; Chapter Four: The Role of IP3 Receptor Channel Clustering in Ca2+ Wave Propagation During Oocyte Maturation; 1. Introduction; 2. Methods; 3. Results; 4. Discussion; Acknowledgment; References; Chapter Five: Modeling Mitochondrial Function and Its Role in Disease; 1. Introduction; 2. Energy Metabolism; 2.1. Tricarboxylic acid cycle; 2.2. Substrate entry into the TCA cycle; 2.3. Oxidative phosphorylation; 2.4. Substrate transport.
  table of contents: 2.5. Ionic and substrate homeostasis3. Mitochondrial Signaling; 4. Mitochondria in Disease; 4.1. Ischemic disease; 4.2. Neurodegenerative disease; 5. Models of Mitochondrial Energy Metabolism; 6. Models of Mitochondrial Signaling; 7. Concluding Remarks; Acknowledgments; References; Chapter Six: Mathematical Modeling of Neuronal Polarization During Development; 1. Biological Background; 2. Biophysical Model; 2.1. Model for active transport, diffusion, and degradation of factor X; 2.2. Model for regulation of neurite growth by factor Y; 3. Mathematical Analysis; 3.1. Factor X along neurite.
  note: edited by Kim T. Blackwell.
  note: Includes bibliographical references and index.
  subject:
    topic: Computational neuroscience
  subject:
    topic: Molecular biology
  subject:
    topic: Nucleic acids
  subject:
    topic: MEDICAL
    topic: Physiology
  subject:
    topic: SCIENCE
    topic: Life Sciences
    topic: Human Anatomy & Physiology
  subject:
    topic: Computational neuroscience
  subject:
    topic: Molecular biology
  subject:
    topic: Nucleic acids
  classification: QP357.5 .P76 2014eb
  classification: 612.8
  related item:
    title info:
      title: Progress in molecular biology and translational science. Volume one hundred and twenty three
    origin info:
      publisher: Waltham, [Massachusetts] ;San Diego, California : Academic Press, ©2014
    physical description:
      extent: xvii, 401 pages
  related item:
    title info:
      title: Progress in molecular biology and translational science ; v. 123
  identifier: 9780123979087
  identifier: 0123979080
  identifier: 9780123978974
  identifier: 0123978971
  identifier: https://www.sciencedirect.com/science/bookseries/18771173/123
  record info:
    record content source: E7B
    record creation date: 140305
    record change date: 20180501122017.0
    record identifier: ocn874179249
    language of cataloging:
      language term: eng