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This book demonstrates the power of mathematical thinking in understanding the biological complexity that exists within the brain. It looks at the latest research on modelling of biochemical pathways within synapses, and provides a clear background for the study of mathematical models related to systems biology. Discussion then focusses on developments in computational models based on networks linked to synaptic plasticity. The models are used to understand memory formation and impairment and they provide a mathematical basis for memory research.
Computational Systems Biology of Synaptic Plasticity is a valuable source of knowledge to postgraduate students and researchers in computational systems biology, and as a reference book for various techniques that are needed in modelling biological processes.
Contents:IntroductionMathematical Methods in Modelling Biochemical Networks in Systems BiologyProteins, Mechanisms and Networks in NMDAR-dependent Synaptic PlasticityA Theoretical Model of State Transition of CaMKIIBidirectionality of Synaptic Pathways Related to LTP and LTDUncertainty Quantification of Models Related to Synaptic PlasticitySynaptic Plasticity in Dementia: Alzheimer's Disease and Role of Calcium
Readership: Postgraduate students and researchers in computational systems biology, and as a reference book for various techniques that are needed in modelling biological processes.
Synaptic Plasticity;Memory;Memory Formation;Memory Impairment;Long Term Potentiation (LTD);Long Term Depreciation (LTD);Biochemical Pathways;Mathematical Models;Computational Methods;Parameter Estimation;Alzheimer's Disease;Calcium Hypothesis;NeuronKey Features:We are not aware of competing titles of this nature at this point in timeThis book will be very useful to mathematicians as well as biologists