Computational Neuroscience

Erscheinungsjahr 2014
ISBN: 978-0-12-397897-4
Verlag: William Andrew Publishing

Buch, Englisch, 440 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 680 g

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.

Zielgruppe

Cell and molecular biologists

Autoren/Hrsg.

Weitere Mitwirkende

Blackwell, Kim L.

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft

Inhaltsverzeichnis

- Markov Modeling of Ion Channels: Implications for Understanding DiseaseAngelika Lampert and Alon Korngreen
- Ionic Mechanisms in Peripheral PainErik Fransen
- Implications of Cellular Models of Dopamine Neurons for SchizophreniaNa Yu, Kristal R. Tucker, Edwin S. Levitan, Paul D. Shepard and Carmen C. Canavier
- The Role of IP3 Receptor Channel Clustering in Ca2+ Wave Propagation during Oocyte MaturationAman Ullah, Peter Jung, Ghanim Ullah and Khaled Machaca
- Modeling Mitochondrial Function and its Role in DiseaseM. Saleet Jafri and Rashmi Kumar
- Mathematical Modeling of Neuronal Polarization During DevelopmentHonda Naoki and Shin Ishii
- Multiscale Modeling of Cell Shape from the Actin CytoskeletonPadmini Rangamani, Granville Yuguang Xiong and Ravi Iyengar
- Computational Modeling of Diffusion in the CerebellumToma M. Marinov and Fidel Santamaria
- Astrocyte-Neuron Interactions: From Experimental Research Based Models to Translational MedicineMarja-Leena Linne and Tuula O. Jalonen
- Dynamic Metabolic Control of an Ion ChannelBertil Hille, Eamonn Dickson, Martin Kruse and Bjoern Falkenburger
- Modeling Molecular Pathways of Neuronal IschemiaZachary H. Taxin, Samuel A. Neymotin, Ashutosh Mohan, Peter Lipton and William W. Lytton
- Modeling Intracellular Signaling Underlying Striatal Function in Health and DiseaseAnu G. Nair, Omar Gutierrez-Arenas, Olivia Eriksson, Alexandra Jauhiainen, Kim T. Blackwell and Jeanette Hellgren Kotaleski
- Data-Driven Modelling of Synaptic Transmission and IntegrationJason S. Rothman and R. Angus Silver
- Multi-Scale Modeling and Synaptic PlasticityUpinder S. Bhalla