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Disorder versus order in brain function : essays in theoretical neurobiology / editors, Peter Arhem, Clas Blomberg, Hans Liljenstrom.
- Format:
- Book
- Series:
- Progress in neural processing ; 12.
- Progress in neural processing ; 12
- Language:
- English
- Subjects (All):
- Neurobiology.
- Brain--Physiology.
- Brain.
- Central nervous system--Physiology.
- Central nervous system.
- Physical Description:
- 1 online resource (286 p.)
- Place of Publication:
- Singapore ; River Edge, NJ : World Scientific, c2000.
- Language Note:
- English
- Summary:
- The main aim of this book is to raise and clear up the intriguing problems of noise and chaos in the nervous system. What functional role do fluctuations in neural systems play? Are there chaotic processes in the brain? What is the neural code, and how robust is it towards noise? Are there mechanisms that can control noise and chaos? The book provides an introduction to this new and hot field of research, and at the same time brings the reader to the forefront of scientific inquiry. It is intended primarily for biologists involved in theoretical treatment and for physicists with an interest in biology, but the overview character of the articles makes it also well suited for a broader readership.
- Contents:
- Contents; List of Contributors; PREFACE; Chapter 1 DISORDER VERSUS ORDER IN BRAIN FUNCTION - AN INTRODUCTION ; 1 What Are the Issues?; 1.1 Basic concepts and principles; 1.2 Strict determinism; 1.3 Empirical determinism; 1.4 Randomness; 1.5 Generation of random processes by strictly deterministic mechanisms; 2 Molecular Fluctuations - Ion Channel Kinetics; 3 Cellular Fluctuations - Neural Coding; 4 Network Fluctuations - Functional Efficiency; 5 Amplification Mechanisms - Relation Between Levels; 6 Functional Significance
- 7 The Case of Consciousness - Macroscopic Ordering of Microscopic Events8 Conclusions; Acknowledgements; References; Chapter 2 A PRIMER ON NOISE AND CHAOS; 1 Introduction; 2 Noise; 3 Mathematical Equations for Noise; 4 Chaos; 5 Concluding Remark; References; Chapter 3 MOLECULAR BACKGROUND TO NEURAL FLUCTUATIONS: AN INTRODUCTION TO ION CHANNEL KINETICS; 1 Introduction; 2 Development of the Channel Idea; 3 Molecular Structure of Classical Voltage Regulated Channels; 4 Evolution of Voltage Regulated Channels; 5 Molecular Mechanisms of Selectivity and Gating; 5.1 Selectivity; 5.2 Activation
- 5.3 Inactivation5.4 Physics of Gating; 6 Mathematical Models of Gating Kinetics; 7 Relevance of Stochasticity in Channel Kinetics for Cellular Activity; 7.1 Cortical Network Simulations; 8 Concluding Remark: A Philosophical Digression; Acknowledgements; References; Chapter 4 WHAT CAUSES ION CHANNEL PROTEINS TO OPEN AND CLOSE?; 1 Introduction; 2 Structure and Motions in the Channel Proteins; 2.1 Markov Models; 2.2 Potential Energy Functions; 2.3 Physical Properties of Proteins; 2.4 Markov Models and Proteins; 2.5 Fractals; 2.6 Fractal Analysis of Ion Channel Kinetics
- 2.7 Physical Interpretation of the Fractal Scaling Relationship3 Random and Deterministic Forces in Switching the Channel between Closed and Open States; 3.1 Chaos; 3.2 Chaotic Analysis of Ion Channel Gating; 3.3 Physical Interpretation of the Chaotic Models of Ion Channel Kinetics; 4 Future Directions; 5 Summary; Acknowledgements; References; Chapter 5 NOISE IN NEURAL COMPUTATION; 1 Introduction; 2 Synaptic Integration - Spontaneous Synaptic Events; 3 Action Potential Generation - Randomness in Interspike Intervals; 4 Synaptic Transmission - Do Neurons Play Dice; 5 Summary; Acknowledgements
- ReferencesChapter 6 DO NEURONS RECOGNIZE PATTERNS OR RATES? ONE EXAMPLE; 1 Introduction; 1.1 Rate Coding; 1.2 Temporal Coding; 2 A Neural Firing Pattern Representing Unstable Periodic Orbits; 3 Low-dimensional Dynamics; 3.1 Statistically Rare But Significant Events; 3.2 A Topological Method; 4 UPOs and SPOs in the Crayfish CPR; 5 UPOs and SPOs in Catfish Electroreceptors; 6 Discussion; Acknowledgements; References; Chapter 7 A PHYSICIST'S VIEW OF BRAIN FUNCTIONING: COHERENCE, CHAOS, PATTERN FORMATION, NOISE; 1 Introduction; 2 Bridging the Gap Between Microscopic and Macroscopic: Synergetics
- 3 Analysis of EEG Patterns
- Notes:
- Description based upon print version of record.
- Includes bibliographical references and index.
- ISBN:
- 9786611967963
- 9781281967961
- 1281967963
- 9789812813398
- 981281339X
- OCLC:
- 922951852
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