• Computational Neuroscience (Hardback) 9780123978974
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Computational Neuroscience

 This special volume of Progress in Molecular Biology and Translational Science brings together different aspects of, and approaches to, molecular and multi-scale modeling, with consequences for a diverse range of neurological diseases.

Kim L. Blackwell (Volume editor)

9780123978974, Elsevier Science

Hardback, published 29 April 2014

440 pages
22.9 x 15.1 x 2.8 cm, 0.68 kg

Praise for the series: "Full of interest not only for the molecular biologist-for whom the numerous references will be invaluable-but will also appeal to a much wider circle of biologists, and in fact to all those who are concerned with the living cell." --British Medical Journal

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. It is well accepted that non-linear interactions among diverse ionic channels can produce unexpected neuron behavior and hinder a deep understanding of how ion channel mutations bring about abnormal behavior and disease. Interactions with the diverse signaling pathways activated by G protein coupled receptors or calcium influx adds an additional level of complexity. Modeling is an approach to integrate myriad data sources into a cohesive and quantitative model in order to evaluate hypotheses about neuron function. In particular, a validated model developed using in vitro data allows simulations of the response to in vivo like spatio-temporal patterns of synaptic input. Incorporating molecular signaling pathways into an electrical model, allows a greater range of models to be developed, ones that can predict the response to pharmaceuticals, many of which target neuromodulator pathways.

  1. Markov Modeling of Ion Channels: Implications for Understanding Disease
    Angelika Lampert and Alon Korngreen
  2. Ionic Mechanisms in Peripheral Pain
    Erik Fransen
  3. Implications of Cellular Models of Dopamine Neurons for Schizophrenia
    Na Yu, Kristal R. Tucker, Edwin S. Levitan, Paul D. Shepard and Carmen C. Canavier
  4. The Role of IP3 Receptor Channel Clustering in Ca2+ Wave Propagation during Oocyte Maturation
    Aman Ullah, Peter Jung, Ghanim Ullah and Khaled Machaca
  5. Modeling Mitochondrial Function and its Role in Disease
    M. Saleet Jafri and Rashmi Kumar
  6. Mathematical Modeling of Neuronal Polarization During Development
    Honda Naoki and Shin Ishii
  7. Multiscale Modeling of Cell Shape from the Actin Cytoskeleton
    Padmini Rangamani, Granville Yuguang Xiong and Ravi Iyengar
  8. Computational Modeling of Diffusion in the Cerebellum
    Toma M. Marinov and Fidel Santamaria
  9. Astrocyte-Neuron Interactions: From Experimental Research Based Models to Translational Medicine
    Marja-Leena Linne and Tuula O. Jalonen
  10. Dynamic Metabolic Control of an Ion Channel
    Bertil Hille, Eamonn Dickson, Martin Kruse and Bjoern Falkenburger
  11. Modeling Molecular Pathways of Neuronal Ischemia
    Zachary H. Taxin, Samuel A. Neymotin, Ashutosh Mohan, Peter Lipton and William W. Lytton
  12. Modeling Intracellular Signaling Underlying Striatal Function in Health and Disease
    Anu G. Nair, Omar Gutierrez-Arenas, Olivia Eriksson, Alexandra Jauhiainen, Kim T. Blackwell and Jeanette Hellgren Kotaleski
  13. Data-Driven Modelling of Synaptic Transmission and Integration
    Jason S. Rothman and R. Angus Silver
  14. Multi-Scale Modeling and Synaptic Plasticity
    Upinder S. Bhalla

Subject Areas: Neurosciences [PSAN], Ecological science, the Biosphere [PSAF], Neurology & clinical neurophysiology [MJN]
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