Origins: Brain and Self Organization

Table of contents

• Title Page i
• Table of Contents iii
• Acknowledgements vi
• Foreword vii
• 1i. Issues 1
• Chapter 1 Mind and Matter: Beyond the Cartesian Dualism 2
• Abstract 3
• Chapter 2: Self-Organization 16
• Chapter 3: Modelling Systems with Intentional Dynamics 53
• Appendix A: Constructing Green's Functions 91
• Appendix B: Minimal Requirements for Quantum Mechanical Observables 92
• Chapter 4 Psychophysics: the Self-Referent Holonomic Observer-Observed Relation 104
• Chapter 5 Continuous Computation and the Emergence of the Discrete 122
• Chapter 6 Consciousness and Anesthesia: An Hypothesis Involving Biophoton Emission in the Microtubular Cytoskeleton of the Brain 155
• Acknowledgements 168
• References 168
• Chapter 7 Self-Organization and Pavlov's Dogs. a Simple Model of the Brain 173
• Figure Captions 183
• Chapter 8 Non-Equilibrium Thermodynamics and the Brain 197
• Summary 205
• References 205
• Ii. Spike Trains and Networks 207
• Chapter 9 as If Time Really Mattered: Temporal Strategies for Neural Coding of Sensory Information 208
• Abstract 209
• Acknowledgments 244
• References 244
• Chapter 10 Are Neural Spike Trains Deterministically Chaotic or Stochastic Processes? 253
• References 267
• Chapter 11 Stochastic Model of Intensity Coding in Olfactory Neurons 268
• Introduction 269
• Acknowledgements 282
• References 282
• Chapter 12 Signal and Variability in Spike Trains 286
• Acknowledgments 295
• References 296
• Chapter 13 Noise and the Neurosciences: A Long History, a Recent Revival and Some Theory 300
• Acknowledgments 327
• References 327
• Chapter 14 Towards Simplicity: Noise and Cooperation in the "Perfect Integrator" 332
• Acknowledgements 345
• References 346
• Chapter 15 Cooperative Behavior in the Periodically Modulated Wiener Process 351
• Abstract 352
• I. Introduction 352
• Acknowledgements 367
• References 367
• References 371
• Chapter 16: Bistability and the Dynamics of Periodically Forced Sensory Neurons 385
• Chapter 17 a Bifurcation Model of Neuronal of Spike Train Patterns: A Nonlinear Dynamic Systems Approach 396
• Chapter 18: Neural Network Models for Chaotic-Fuzzy Information Processing 434
• Iii. Image Processing 461
• Chapter 19 Vector Coding in Neuronal Nets: Color Vision 462
• References 463
• Chapter 20 the Perception of Visual Form 477
• Chapter 21 Visually-Triggered Neuronal Oscillations in the Pigeon: An Autocorrelation Study of Tectal Activity 497
• Chapter 22 Dynamic Self-Organization in the Brain as Observed by Transient Cortical Coherence 536
• Acknowledgments 543
• References 543
• Chapter 23: The Application of Katchalsky Network Models to Radar Pattern Classif ication 546
• Chapter 24 Spectral Density Maps of Receptive Fields in the Rat's Somatosensory Cortex 557
• Iv. the Brain as Controller 572
• Chapter 25 Perception. Double Dichotomy of Visual Brain 582
• Chapter 26 Visual Pathways Supporting Perception and Action in the Primate Cerebral Cortex 585
• Conclusions 590
• Acknowledgements 590
• References and Recommended Reading 590
• Chapter 27 Auditory "Objects:" the Role of Motor Activity in Auditory Perception and Speech Perception 593
• Acknowledgments 602
• References 602
• Chapter 28 Entities and Brain Organization: Logogenesis of Meaningful Time-Forms 605
• Chapter 29 Role of the Frontal and Temporal Lobes in Scanning Visual Features 633
• Acknowledgements 657
• References 657
• Chapter 30 Brain Systems Involved in Attention and Disattention (hypnotic Analgesia) to Pain 662
• Summary 676
• Acknowledgments 676
• References 676
• Chapter 31 the Brain as a Neurocontroller: New Hypotheses and New Experimental Possibilities 694
• Afterword 707
• List of Authors Cited 709

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