Karl Pribram

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Karl Pribram

1 .

Brain and Values: Is a Biological Science of Values Possible
by Karl H. Pribram. 568 pgs.

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Title Page

Table of Contents

Acknowledgments

Keynote

Conclusion

References

Author Note

Forword

Introduction

1: Mixing Memory and Desire: Want and Will in Neural Modeling

2: On Brain and Value: Utility, Preference, Play and Creativity

3: Values, Goals and Utility in an Engineering-Based Theory of Mammalian Intelligence

Preference

4: Stimulus Class Formation in Animals

Author Notes

References

5: Virtual Associative Networks: A Framework for Cognitive Modeling

5: Virtual Associative Networks: A Framework for Cognitive Modeling

Acknowledgments

References

6: Self-Organization of Cortical Information Processing

Introduction

7: The Self-Organizing Map, a Possible Model of Brain Maps

Introduction

8: Pragmatic Approach to Consciousness

Acknowledgement

References

9: Do All Dynamical Systems Have Memory? Implications of the Systemic Memory Hypothesis for Science and Society

9: Do All Dynamical Systems Have Memory? Implications of the Systemic Memory Hypothesis for Science and Society

10: Preserved Vocabulary and Reading Acquisition in an Amnesic Child

11: The Role of Memory in Brain, Values, and Choice

Introduction

Summary

References

12: The Transfer of Value in Simultaneous Discriminations: Implications for Cognitive and Social Processes

Authors Notes

13: The Experience-Dependent Maturation of an Evaluative System in the Cortex

14: The Electricity of Touch: Detection and Measurement of Cardiac Energy Exchange Between People

Introduction

Introduction

15: Readiness for Action

Conclusion

Creativity

16: A Larmarckian Model of Creativity

17: Creativity: Reframed as a Biological Process

Introduction

18: Values, Agency, and the Theory of Quantum Vacuum Interaction

Introduction

19: On Cognitive Maps, Vicarious Trial-And-Error, and Impulsivity

Afterword

Mcclelland Reactions to Pribram's Commentary

Introduction

References

References

List of Authors Cited
2 .

Brain and Perception: Holonomy and Structure in Figural Processing
by Karl H. Pribram. 394 pgs.

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Contents

John M. Maceachran Memorial Lecture Series

Preface

Acknowledgments

Viewpoint

Prolegomenon

1: Aims and Origins

2: Outline of A Holonomic Brain Theory

Configural Aspects

3: Transformational Realism: The Optic Array, the Optical Image and the Retinal Process

4: Imaging: Cooperativity in Primary Sensory Systems

5: Object Forms and Object Spaces: Sensory-Motor Reciprocity in Perisensory Systems

6: Images of Achievement and Action Spaces: Somatic Processes in the Control of Action

Ii Cognitive Aspects

7: Comprehension: The Contributions of the Posterior Cerebral Convexity in Enhancing Processing Span

8: Familiarization and Valuation: The Contributions of the Amygdala System to the Demarcation of an Episode

9: Irrelevance and Innovation: The Contributions of the Hippocampus and Limbic Forebrain to the Processing of Context

10: Envisioning Proprieties and Priorities; Practical Inference: The Far Frontal Cortex as Executive Processor

Epilogue

Appendices: A Theory of Nonlocal Cortical Processing in the Brain

1: Introduction

1: Introduction

1: Introduction

References

Glossary

Author Index

Subject Index
3 .

Scale in Conscious Experience: Is the Brain Too Important to Be Left to the Specialists to Study? (Chap. 15 "Quantum Dynamics and Neural Dynamics: Analogies between the Formalisms of Bohm and Pribram")
by Joseph King, Karl H. Pribram. 458 pgs.

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TABLE OF CONTENTS

Foreword Scale in Conscious Experience: Is the Brain Too Important To Be Left to Specialists to Study?

REFERENCES

The Macrolevel: Issues

1: The Problem of Consciousness

2: The Investigation of Consciousness Through Phenomenology and Neuroscience

1: Introduction

Abstract

8: References

7: Conclusions

The Mesolevel: Neural Systems and Consciousness

3: Blindsight: Conscious vs. Unconscious Aspects

REFERENCES

ACKNOWLEDGEMENTS

4: Heterogeneity of Extrastriate Visual Areas and Multiple Parietal Areas in the Macaque Monkey

5: Cerebral Memory Circuits

ABSTRACT

ACKNOWLEDGEMENT

REFERENCES

6: Neocortical Mechanisms for Visual Memory

Acknowledgments

7: From Eye to Hand

Acknowledgements

Microprocessing and the Nanolevel in the Neurodynamics of Consciousness

8: Beyond Single Unit Recording: Characterizing Neural Information in Networks of Simultaneously Recorded Neurons

INTRODUCTION

9: Responses of Somatosensory Cortical Neurons to Spatial Frequency and Orientation: A Progress Report

10: Application Toolset for Holographic Neural Technology An Overview

11: Attempts to Unify Chaos, Fuzzy Logic and Neural Networks

INTRODUCTION

12: Orchestrated Reduction of Quantum Coherence in Brain Microtubules: A Model for Consciousness

ABSTRACT

1: INTRODUCTION

1: INTRODUCTION

1: INTRODUCTION

1: INTRODUCTION

Quantum Physics, Quantum Neurodynamics and Consciousness

14: Nonlocality in Microsystems

Abstract

1: Introduction

15: Quantum Dynamics and Neural Dynamics: Analogies between the Formalisms of Bohm and Pribram

CONCLUSIONS

Acknowledgments

References

16: Modeling the Heisenberg Matrix: Quantum Coherence and Thought at the Holoscape Manifold and deeper Complementarity

1: Introduction.

References

acknowledgements

17: Dissipation and Brain

1: Introduction

18: Frohlich Coherence at the Mind-Brain Interface

Afterword Appalachian III

References:

List of Authors Cited
4 .

Origins: Brain and Self Organization
by Karl Pribram. 718 pgs.

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Table of Contents

Acknowledgements

Foreword

1i. Issues

Chapter 1 Mind and Matter: Beyond the Cartesian Dualism

Abstract

Chapter 2: Self-Organization: Rexamining the Basics and an Alternative to the Big Bang

Chapter 3: Modelling Systems with Intentional Dynamics: A Lesson from Quantum Mec hanics

Appendix A: Constructing Green's Functions

Appendix B: Minimal Requirements for Quantum Mechanical Observables

Chapter 4 Psychophysics: the Self-Referent Holonomic Observer-Observed Relation

Chapter 5 Continuous Computation and the Emergence of the Discrete

Chapter 6 Consciousness and Anesthesia: an Hypothesis Involving Biophoton Emission in the Microtubular Cytoskeleton of the Brain

Acknowledgements

References

Chapter 7 Self-Organization and Pavlov's Dogs. a Simple Model of the Brain

Figure Captions

Chapter 8 Non-Equilibrium Thermodynamics and the Brain

References

Summary

Ii. Spike Trains and Networks

Chapter 9 as If Time Really Mattered: Temporal Strategies for Neural Coding of Sensory Information

Abstract

Acknowledgments

References

Chapter 10 Are Neural Spike Trains Deterministically Chaotic or Stochastic Processes?

References

Chapter 11 Stochastic Model of Intensity Coding in Olfactory Neurons

Introduction

References

Acknowledgements

Chapter 12 Signal and Variability in Spike Trains

Acknowledgments

References

Chapter 13 Noise and the Neurosciences: a Long History, a Recent Revival and Some Theory

References

Acknowledgments

Chapter 14 Towards Simplicity: Noise and Cooperation in the "Perfect Integrator"

Acknowledgements

References

Chapter 15 Cooperative Behavior in the Periodically Modulated Wiener Process

Abstract

I. Introduction

Acknowledgements

References

References

Chapter 16: Bistability and the Dynamics of Periodically Forced Sensory Neurons

Chapter 17 a Bifurcation Model of Neuronal of Spike Train Patterns: a Nonlinear Dynamic Systems Approach

Chapter 18: Neural Network Models for Chaotic-Fuzzy Information Processing

Iii. Image Processing

Chapter 19 Vector Coding in Neuronal Nets: Color Vision

References

Chapter 20 the Perception of Visual Form

Chapter 21 Visually-Triggered Neuronal Oscillations in the Pigeon: an Autocorrelation Study of Tectal Activity

Chapter 22 Dynamic Self-Organization in the Brain as Observed by Transient Cortical Coherence

References

Acknowledgments

Chapter 23: The Application of Katchalsky Network Models to Radar Pattern Classif ication

Chapter 24 Spectral Density Maps of Receptive Fields in the Rat's Somatosensory Cortex

Iv. the Brain as Controller

Chapter 25 Perception. Double Dichotomy of Visual Brain

Chapter 26 Visual Pathways Supporting Perception and Action in the Primate Cerebral Cortex

Conclusions

References and Recommended Reading

Acknowledgements

Chapter 27 Auditory "Objects:" the Role of Motor Activity in Auditory Perception and Speech Perception

Acknowledgments

References

Chapter 28 Entities and Brain Organization: Logogenesis of Meaningful Time-Forms

Chapter 29 Role of the Frontal and Temporal Lobes in Scanning Visual Features

Acknowledgements

References

Chapter 30 Brain Systems Involved in Attention and Disattention (hypnotic Analgesia) to Pain

Summary

Acknowledgments

References

Chapter 31 the Brain as a Neurocontroller: New Hypotheses and New Experimental Possibilities

Afterword

List of Authors Cited
5 .

Rethinking Neural Networks: Quantum Fields and Biological Data
by Karl H. Pribram. 554 pgs.

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TABLE OF CONTENTS

Evolution of Complexity of the Brain with the Emergence of Consciousness

Neurodynamics and Synergetics

Chapter 1: From Stochastic Resonance to Gabor Functions: An analysis of the proba bility density function of interspike intervals recorded from visual cortical ne urons

INTRODUCTION

REFERENCES

Chapter 2: Automated Recognition of Action Potentials in Extracellular Recordings

Chapter 3: Coupled Neural-Dendritic Processes: Cooperative Stochastic Effects and the Analysis of Spike Trains

I. INTRODUCTION

ABSTRACT

I. INTRODUCTION

II. Quantum Neurodynamics

Chapter 4: The Basics of Quantum Brain Dynamics

Acknowledgement

References

Chapter 5: Advances in the Theory of Quantum Neurodynamics

REFERENCES

Chapter 6 Information Processing in the Dendritic Net

7 Conclusions

8 References

Chapter 7 Field Computation in the Brain

Chapter 8 Analog Vlsi Network Models, Cortical Linking Neural Network Models, and Quantum Holographic Neural Technology

Contents

Chapter 9: Quantum Theory & Neural Systems: Alternative Approaches and a New Design

III. Nanoneurology

Chapter 10: Nanoneurology and the Cytoskeleton: Quantum Signaling and Protein Con formational Dynamics as Cognitive Substrate

Chapter 11: Modulation of Neurotransmitter Function by Quantum Fields

Chapter 12: THE NEURONAL CYTOSKELETON: A COMPLEX SYSTEM THAT SUBSERVES NEURAL LEA RNING

5 Acknowledgement's

6 References

Chapter 13: Spatiotemporal Chaos Information Processing in Neural Networks -- Ele ctronic Implementation

6. Conclusion

Acknowledgement

References

IV. Perceptual Processing

Chapter 14: Neuronal Encoding of Information Related to Visual Perception, Memory , and Motivation

Chapter 15: Efferent Programming of the Striate Cortex

Chapter 16: The Emergence of Chaotic Dynamics as a Basis for Comprehending Intent ionality in Experimental Subjects

Chapter 17: The Formation of Live Neural Networks on Electronic Chips

Acknowledgement

References

AFTERWORLD

References:

List of Authors Cited

International Neural Network Society 1993
6 .

Memory and the Brain (Discussion of Pribram's theory begins on p. 190)
by Magda B. Arnold. 532 pgs.

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Contents

Preface

Part I: Psychological Aspects

1: Perception

2: Attention

3: Reinforcement, Reward: Appraisal and Affective Memory

4: Types of Modality-Specific Memory: Sensory, Motor, Conceptual

5: Memory Registration, Retention, Recall

6: Imagination and Recall

7: Recognition

8: Memory Models

9: A Psychological Theory of Cognition and Memory

Part II: Neurophysiological Correlates

10: Localization of Psychological Functions

11: Cortical Areas Mediating Sense Experience: Sensory Areas and Appraisal Areas

12: Cortical Memory Registration: Sensory Memory and Affective Memory

13: Cortical Areas Mediating Movement: Motor Areas and the Initiation of Action

14: Motor Memory Registration

15: Motor Memory Deficits After Frontal Lesions

16: Memory Retrieval

17: The Neural Substrate of Attention and the Medial Appraisal System

18: Damage to the Appraisal System and the Affective Memory Circuit

19: Hemisphere Functions and Memory Impairment

20: The Hippocampus: Relay Station of Memory and Action Circuits

21: Hippocampal Damage and Memory

22: The Hippocampal Projection

23: The Amygdala: Relay Station in the Imagination Circuit

24: Neurotransmitters in the Brain

25: Neurotransmitters, the Reward System and Psychiatric Illness

26: The Action Circuit: Ascending and Descending Links; Activation-Depression

27: The Action Circuit: Through the Hypothalamus

28: The Action Circuit and Motor Memory Circuit: from Midbrain to Frontal Lobe

References

Author Index

Subject Index
7 .

Learning as Self-Organization
by Karl H. Pribram, Joseph King. 602 pgs.

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TABLE OF CONTENTS

Foreword Learning as Self-Organization

Keynote

Innate Bases of Learning

REFERENCES

The Behavioral Level: Learning

1: Respondents, Operants, and Emergents

Summary

Author Notes

Author Notes

2: Analysis of Behavioral Selection by Consequences and Its Potential: Contributions to Understanding Brain-Behavior Relations

3: Mechanics of the Animate

CONCLUSION

REFERENCES

APPENDIX 1

APPENDIX 2

4: The Response Dimension

References

5: Nonlinear Phenomena in Learning Processes

6: The Attractor of the Intentional Learning System

The Network Level: Self-Organization

7: TheThree Languages of the Brain: Quantum, Reorganizational, And Associative

8: Automatic Formation of Wavelet- and Gabor-Type Filters in an Adaptive-Subspace SOM

References:

7 Conclusion

9: Democratic Reinforcement: Learning via Self-Organization

ABSTRACT

I. Introduction

10: Biological Plausibility of Synaptic Associative Memory Models

11: Learning in the Brain: An Engineering Interpretation

The Neural Systems Level: Process

12: Morphogenesis and Mental Process

Summary

Conclusion

Conclusion

13: Topographically Different Regional Networks Impose Structural Limitations on Both Sexes in Early Postnatal Development

Summary

Acknowledgments

14: Brain Regions Associated With Retrieval of Structurally Coherent Visual Information

15: Conscious Recollection and the Human Hippocampal Formation: Evidence from Positron Emmission Tomography

16: An Exploration of the Neural Bases of Memory Representations of Reward and Context

17: Emotion and the Self-Organization of Semantic Memory

The Social Level: The Organization of Self in Society

18: Learning and Unlearning in the Formation of Social Bonds

Introduction

Abstract

Acknowledgements

References

19: Language as an Instrument for Self Reorganization

PREFACE

INTRODUCTION

SUMMARY

REFERENCES

20: Self-Organization and the Social Collective

The Transcendental Level: Self Organization on a Grand Scale

21: Reflections in Clouded Mirrors: Selfhood in Animals and Machines

References

Acknowledgement

22: Chance, Choice, and Consciousness: A Causal Quantum Theory of the Mind/Brain

23. Mind and Matter: Aspects of the Implicate Order Described Through Algebra

12. Conclusion.

13. References.

Afterword

Conclusion

References

List of Authors Cited
8 .

Autobiographies in Experimental Psychology ("Introduction to Karl H. Pribram" begins on p. 59)
by Ronald Gandelman. 122 pgs.

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Contents

Preface

Introduction to Frank A. Beach

1: Conceptual Issues in Behavioral Endocrinology

Introduction to Fred S. Keller

2: Experiments I Have Known

Introduction to Howard H. Kendler

3: Retrospections, Contemplations, and Anticipations

Introduction To Karl H. Pribram

4: Brain, Behavioral Operants, Cognitive Operations, and Holonomic Transformations

Introduction to Curt P. Richter

5: A Hidden Mysterious Permanent Release of Behavior
9 .

The Mind's New Science: A History of the Cognitive Revolution ("Pribram's Holographic Hypothesis" begins on p. 282)
by Howard Gardner. 430 pgs.

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The first full-scale introduction to and history of cognitive science. An interdisciplinary study of the nature of knowledge by the noted cognitive scientist and author of Frames of Mind.

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Preface

Part I: The Cognitive Revolution

1: Introduction: What the Meno Wrought

2: Laying The Foundation For Cognitive Science

3: Cognitive Science: The First Decades

Part II: The Cognitive Sciences: A Historical Perspective

4: Reason, Experience, And The Status of Philosophy

5: Psychology: The Wedding Of Methods to Substance

6: Artificial Intelligence: The Expert Tool

7: Linguistics: the Search For Autonomy

8: Anthropology: Beyond The Individual Case

9: Neuroscience: The Flirtation With Reductionism

Part III: Toward An Integrated Cognitive Science: Present Efforts, Future Prospects

Introduction

10: Perceiving the World

11: Mental Imagery: A Figment Of The Imagination?

12: A World Categorized

13: How Rational a Being?

14: Conclusion: The Computational Paradox and The Cognitive Challenge

Epilogue to the Paperback Edition: Cognitive Science After 1984

Name Index

Subject Index
10 .

Current Trends in Psychology and the Behavioral Sciences ("Toward a Science of Neuropsychology" by Karl H. Pribram begins on p. 115)
by John T. Wilson, Clellan S. Ford, B. F. Skinner, Gustav Bergmann, Frank A. Beach, Karl Pribram. 142 pgs.

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Psychology and The Behavioral Sciences

Introduction

Psychology And Behavioral Science

Some Potential Contributions Of Anthropology to Psychology

The Science of Learning And the Art of Teaching

Reduction

The Individual From Conception To Conceptualization

Toward a Science Of Neuropsychology (method and Data)

Acknowledgment
11 .

Motivation, Emotion, and Goal Direction in Neural Networks (Chap. 10 "Familiarity and Novelty: The Contributions of the Limbic Forebrain to Valuation and the Processing of Relevance" by Karl Pribram)
by Daniel S. Levine, Samuel J. Leven. 476 pgs.

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Preface

References for Preface

List of Contributors

Theories of Pavlovian Conditioning

1 Propagation Controls for True Pavlovian Conditioning

Appendix

Appendix

2 Associative Learning And Selective Forgetting in A Neural Network Regulated By Reinforcement and Attentive Feedback

Conclusion

Acknowledgments

3 Versatility in Conditioning: A Layered Networ Model

References

Acknowledgments

4 Behavioral Geodesics

References

5 Neuromodulatory Mechanisms in Neural Networks and Their Influence On Interstimulus Interval Effects in Pavlovian Conditioning

Appendix: Numerical Methods And Parameters

Appendix: Numerical Methods And Parameters

Ii Complex Motivational- Cognitive Circuits In The Brain

6 Top-Down Processes, Attention, and Motivation In Cognitive Tasks

References

7: A Neural Network Theory Of Manic-Depressive ILlness

Acknowledgments

References

8 Learned Helplessness, Memory, and The Dynamics of Hope

Acknowledgments

References

9: Integration, Disintegration, And the Frontal Lobes

10 Familiarity and Novelty: The Contributions of the Limbic Forebrain to Valuation and The Processing of Relevance

Iii Applications of Goal Direction in Artificial Neural Systems

11: Knowledge-Representation Networks: Goal Direction In Intelligent Neural Systems

12 Perfect Memory

Acknowledgment

References

Author Index
12 .

Neural Networks for Knowledge Representation and Inference (Chap. 14 "Brain and the Structure of Narrative" by Karl H. Pribram begins on p. 375)
by Daniel S. Levine, Manuel Aparicio IV. 509 pgs.

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Preface

References for Preface

List of Contributors

I: Neurons and Symbols: toward a Reconciliation

1: Why Are Neural Networks Relevant to Higher Cognitive Function?

2: On Using Analogy to Reconcile Connections and Symbols

3: Semiotics, Meaning, and Discursive Neural Networks

4: Continuous Symbol Systems: the Logic of Connectionism

II: Architectures for Knowledge Representation

5: Representing Discrete Structures in a Hopfield-Style Network

6: Modeling and Stability Analysis of a Truth Maintenance System Neural Network

7: Propositional Logic, Nonmonotonic Reasoning and Symmetric Networks -- on Bridging the Gap between Symbolic and Connectionist Knowledge Representation

8: The Representation of Knowledge and Rules in Hierarchical Neural Networks

III: Applications of Connectionist Representation

9: Connectionist Models of Commonsense Reasoning

Appendix A: The Collins Protocols

10: Toward Connectionist Representation of Legal Knowledge

11: Markov Random Fields for Text Comprehension

12: A Study in Numerical Perversity: Teaching Arithmetic to a Neural Network

IV: Biological Foundations of Knowledge

13: Toward a Theory of Learning and Representing Causal Inferences in Neural Networks

14: Brain and the Structure of Narrative

15: Neuroelectric Eigenstructures of Mental Representation

16: Automatic versus Controlled Processing in Variable Temporal Context and Stimulus-Response Mapping

Author Index

Subject Index
13 .

Optimality in Biological and Artificial Networks? (Chap. 21 "Communication and Optimality in Biosocial Collectives" by Raymond Trevor Bradley and Karl H. Pribram)
by Daniel S. Levine, Wesley R. Elsberry. 514 pgs.

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List of Contributors

Preface

I What Is the Role of Optimality?

1: Don'T Just Stand There, Optimize Something!

2: Optimization: A Foundation for Understanding Consciousness

Appendix: A Few Personal Thoughts About the Soul

References

3: Negotiating Inside the Brain -- and Out: The Microfoundations Project

1: Introduction

4: Nonoptimality in A Neurobiological System

1: Introduction

5: Conclusions and Future Work

Acknowledgments

References

5: Optimality and Strategies in Biological and Artificial Neural Networks

6: Properties of Optimality in Neural Networks

Ii Quantitative Foundations of Neural Optimality

7: Optimality and Options in the Context of Behavioral Choice

7: Summary

Acknowledgment

8: Knowledge, Understanding, and Computational Complexity

References

Acknowledgments

Appendix: 1400 Concrete Nouns

9: Optimal Statistical Goals for Neural Networks Are Necessary, Important, and Practical

1: Introduction

References

6: Summary and Conclusions

10: Rule Induction and Mapping Completion in Neural Networks

1: Introduction

10: Conclusions

References

11: Evolution of Dynamic Reconfigurable Neural Networks: Energy Surface Optimality Using Genetic Algorithms

1: Introduction

5: Conclusion

References

Acknowledgments

12: Optimization by A Hopfield-Style Network

Iii Optimality in Learning, Cognition, and Perception

13: An Examination of Mathematical Models of Learning in A Single Neuron

1: Introduction

5: Conclusions

References

14: On the Optimization of A Synaptic Learning Rule

1: Introduction

15: Spatial Pattern Learning, Catastrophic Forgetting, and Optimal Rules of Synaptic Transmission

16: A Generalized Autoassociator Model for Face Processing and Sex Categorization: From Principal Components to Multivariate Analysis

1: Introduction

References

Acknowledgment

17: A Neural Network for Determining Subjective Contours

1: Introduction

4: Conclusion

References

Iv Optimality in Dicision, Communication, and Control

18: A Development Perspective to Neural Models of Intelligence and Learning

1: Introduction

Acknowledgment

References

4: Conclusion

References

19: The Income-Choice Approach and Some Unsolved Problems of Psychopathology -- A "Bridge Over Time"

1: Introduction

4: Afterword

References

Acknowledgments

20: Communication Cognition: Interactive Nets We Weave, When We Practice to Perceive

4: Conclusion

References

21: Communication and Optimality in Biosocial Collectives

I. Introduction

Acknowledgments

References

Author Index

Subject Index

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