Network Hierarchies in Neural Organization, Development and Pathology

The following sections are included:

• 1 Introduction

• 2 Neurobiological Considerations

  • 2.1 Overview

  • 2.2 Functional Anatomy

  • 2.3 Nested Distributed Systems

• 3 Hierarchical Cluster Model

  • 3.1 Architecture

  • 3.2 Dynamic Form

  • 3.3 Assertions of the HCM

  • 3.4 Limitations of the HCM

• 4 Multilevel Memory Properties

  • 4.1 Model Implementation

  • 4.2 Mathematical Formulation

    • 4.2.1 Spatial features

    • 4.2.2 Temporal features

    • 4.2.3 Computational energy

  • 4.3 Simulations

    • 4.3.1 Overview

    • 4.3.2 Method

  • 4.4 Results

    • 4.4.1 τ = 0 conditions

    • 4.4.2 τ ≠ 0 conditions

• 5 Learning and Development

  • 5.1 Outline

  • 5.2 Perspectives on Learning

  • 5.3 Learning by Selection in the HCM

    • 5.3.1 Memory stabilization

    • 5.3.2 Numerical simulation

• 6 Perturbation and Disease

  • 6.1 Neuropathology as System Perturbation

  • 6.2 The HCM and Illness

  • 6.3 Alzheimer's Disease

  • 6.4 Hierarchical Memory Loss

• 7 Integrative Neural Modeling

  • 7.1 Perspectives

  • 7.2 Complex Systems

  • 7.3 Neural Computation

  • 7.4 Applications to Technology and Neuroscience

• 8 Concluding Remarks

• Acknowledgements

• References