Description |
1 online resource (xvii, 711 pages) : illustrations, portraits |
Series |
BIOSCIENCEnetBASE
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Contents |
Front cover; Contents; Preface to the Second Edition; Contributors; Foreword; About the Editors; 1 Introduction to Modeling in the Neurosciences; 2 Patterns of Genetic Interactions: Analysis of mRNA Levels from cDNA Microarrays; CONTENTS; 2.1 INTRODUCTION 2.1.1 Biological Organisms are Complex Systems; 2.1.2 Genes Interact with Eac hOth er; 2.2 GENETIC INTERACTION; 2.2.1 Network Topologies; 2.2.2 Genomic Networks; 2.3 GENETIC NETWORKS; 2.4 INTEGRATIVE MODELING APPROACH; 2.4.1 The General Model; 2.4.2 Five Models of Genetic Networks |
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2.4.3 EachModel Generates mRNA Levels with a Characteristic PDF2.5 BIOLOGICAL DATA; 2.6 SUMMARY; ACKNOWLEDGMENTS; PROBLEMS; APPENDIX: MULTI-HISTOGRAM ALGORITHM FOR DETERMINING THE PDF; 3 Calcium Signaling in Dendritic Spines; CONTENTS; 3.1 INTRODUCTION; 3.2 FIRST-GENERATION DENDRITIC-SPINE CALCIUM MODELS; 3.2.1 Calcium Diffusion; 3.2.2 Calcium Buffering; 3.2.3 Calcium Pumps; 3.2.4 Calcium Influx; 3.2.5 Calcium from Intracellular Stores; 3.2.6 Summary; 3.3 INSIGHTS; 3.3.1 SpinesCompartmentalize Calcium Concentration Changes; 3.3.2 SpinesAmplify Calcium Concentration Changes |
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3.3.3 Spine-Head Calcium (or CaMCa4) Concentration isa Good Predictor of LTP3.3.4 Spine Shape Playsan Important Role in the Ability of a Spine to Concentrate Calcium; 3.4 ISSUES; 3.4.1 Calcium Pumps; 3.4.2 Calcium Buffers; 3.4.3 Calcium Source; 3.5 IMAGING STUDIES TEST MODEL PREDICTIONS; 3.5.1 SpinesCompartmentalize Calcium Concentration Changes; 3.5.2 Importance of Spine Geometry; 3.6 INSIGHTS; 3.6.1 Sourcesof Calcium in Spines; 3.6.2 Calcium Extrusion via Pumps; 3.6.3 Calcium Buffersin Spines; 3.7 ADDITIONAL INSIGHTS; 3.7.1 Spine Motility |
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3.7.2 Coincidence Detection with Backpropagating Action Potentials3.8 SECOND-GENERATION SPINE MODELS: REACTIONS LEADING; 3.8.1 Modeling CaMKII Activation isComplicated; 3.8.2 Characteristics of Second-Generation Models; 3.9 INSIGHTS; 3.9.1 Frequency Dependence of CaMKII Activation; 3.9.2 Different Stagesof CaMKII Activation; 3.9.3 CaMKII Activation asa Bistable Molecular Switch; 3.9.4 CaMKII and Bidirectional Plasticity; 3.9.5 CaMKII Activation and Spine Shape; 3.9.6 ModelsPr edict the Need for Repetition of Short TetanusT rains; 3.10 FUTURE PERSPECTIVES; 3.11 SUMMARY; PROBLEMS |
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APPENDIX 1. TRANSLATING BIOCHEMICAL REACTION EQUATIONS TO DIFFERENTIAL EQUATIONSAPPENDIX 2. STOCHASTIC RATE TRANSITIONS; APPENDIX 3. USE OF MICHAELIS-MENTEN KINETICS IN DEPHOSPHORYLATION REACTIONS; 4 Physiological and Statistical Approaches to Modeling of Synaptic Responses; CONTENTS; 4.1 INTRODUCTION 4.1.1 Modeling Synaptic Function in the CNS; 4.1.2 Complexity Introduced by Synaptic Heterogeneity and Plasticity; 4.1.3 Complexity Associated with Physiological Recordings; 4.1.4 Classical Statistical Models; 4.2 NONTRADITIONAL MODELS |
Summary |
PREFACECONTRIBUTORSFOREWORDINTRODUCTION TO MODELING IN THE NEUROSCIENCESGeorge N. ReekePATTERNS OF GENETIC INTERACTIONS: ANALYSIS OF MRNA LEVELS FROM CDNA MICROARRAYSLarry S. Liebovitch, Lina A. Shehadeh, andd Viktor K. JirsaCALCIUM SIGNALING IN DENDRITIC SPINESWilliam R. HolmesPHYSIOLOGICAL AND STATISTICAL APPROACHES TO MODELING OF SYNAPTIC RESPONSESParag G. Patil, Mike West, Howard V. Wheal, and Dennis A. TurnerNATURAL VARIABILITY IN THE GEOMETRY OF DENDRITIC BRANCHING PATTERNSJaap van Pelt and Harry B.M. UylingsMULTICYLINDER MODELS FOR SYNAPTIC AND GAP-JUNCTIONAL INTEGRATIONJonathan D. Evan |
Bibliography |
Includes bibliographical references (pages 647-704) and index |
Notes |
Print version record |
Subject |
Neurons -- Computer simulation
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Neurons -- Mathematical models
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Neural networks (Neurobiology)
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Computational neuroscience.
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Digital computer simulation.
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Computer simulation.
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Models, Neurological
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Computer Simulation
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Neurons -- physiology
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Neurosciences -- methods
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simulation.
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SOCIAL SCIENCE -- Anthropology -- Physical.
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Digital computer simulation
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Computer simulation
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Computational neuroscience
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Neural networks (Neurobiology)
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Neurons -- Computer simulation
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Neurons -- Mathematical models
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Form |
Electronic book
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Author |
Reeke, G. N. (George N.), 1943-
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ISBN |
0203390970 |
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9780203390979 |
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9781420023343 |
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1420023349 |
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9781134333387 |
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1134333382 |
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9781134333332 |
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1134333331 |
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9781134333370 |
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1134333374 |
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