Modeling in the neurosciences : from biological systems to neuromimetic robotics /: from biological systems to neuromimetic robotics. (2005)
- Record Type:
- Book
- Title:
- Modeling in the neurosciences : from biological systems to neuromimetic robotics /: from biological systems to neuromimetic robotics. (2005)
- Main Title:
- Modeling in the neurosciences : from biological systems to neuromimetic robotics
- Further Information:
- Note: Edited by G.N. Reeke [and others].
- Other Names:
- Reeke, G. N (George N.), 1943-
- 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 withEac 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. 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. 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 SpineFront 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 withEac 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. 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. 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. 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. 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. … (more)
- Edition:
- Second edition
- Publisher Details:
- Boca Raton, FL : Taylor & Francis
- Publication Date:
- 2005
- Extent:
- 1 online resource (xvii, 711 pages), illustrations, portraits
- Subjects:
- 573.860113
Neurons -- Computer simulation
Neurons -- Mathematical models
Neural networks (Neurobiology)
Computational neuroscience
Models, Neurological
Computer Simulation
Neurons -- physiology
Neurosciences -- methods
Computer simulation
Neurosciences -- Methods
Neurons -- Physiology
SOCIAL SCIENCE -- Anthropology -- Physical
Computational neuroscience
Neural networks (Neurobiology)
Neurons -- Computer simulation
Neurons -- Mathematical models
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 0203390970
9780203390979
9781420023343
1420023349 - Related ISBNs:
- 0415328683
1420023349
9780415328685 - Notes:
- Note: Includes bibliographical references (pages 647-704) and index.
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- Physical Locations:
- British Library HMNTS - ELD.DS.155414
- Ingest File:
- 01_069.xml