Computational Maps in the Visual Cortex reviews the current theories of the visual cortex and the biological data on which they are based, and presents a detailed analysis of the laterally connected self-organizing map model and results obtained to date.
Contents
Foundations
1. Introduction
- Input-Driven Self-Organization
- Constructing Visual Function
- Perceptual Grouping
- Approach
- Guide for the Reader
2. Biological Background
- Visual System Organization
- Lateral Connections
- Genetic Versus Environmental Factors in Development
- Temporal Coding
3. Computational Foundations
- Computational Units
- Temporal Coding
- Adaptation
- Self-Organizing Maps
- Knowledge Representation in Maps
Input-Driven Self-Organization
4. Lissom: A Computational Map Model of V1
- Motivation: Cortical Maps
- The Lissom Architecture
- Response Generation
- Learning
- Self-Organizing Process
5. Development of Maps and Connections
- Biological Background
- Computational Models
- Orientation Maps
- Ocular Dominance Maps
- Direction Selectivity Maps
- Combined Maps of Multiple Features
- Discussion
6. Understanding Plasticity
- Biological and Computational Background
- The Reduced Lissom Model
- Retinal Lesions
- Cortical Lesions
7. Understanding Visual Performance: The Tilt Aftereffect
- Psychophysical and Computational Background
- Method
- Results
- Anaysis
Constructing Visual Function
8. Hlissom: A Hierarchical Model
- Motivation: Synergy of Nature and Nurture
- The Hierarchical Architecture
- Inputs, Activation and Learning
- Effect of Input Sequence and Initial Organization
9. Understanding Low-Level Development: Orientation Maps
- Biological Motivation
- Prenatal Development
- Postnatal Development
- Prenatal and Postnatal Contributions
10. Understanding High-Level Development: Face Detection
- Psychophysical and Computational Background
- Prenatal Development
- Postnatal Development
Perceptual Grouping
11. Pglissom: A Perceptual Grouping Model
- Motivation: Temporal Coding
- The Self-Organization and Grouping Architecture
- Spiking Unit Model
- Learning
- Self-Organizing Process
12. Temporal Coding
- Binding Through Synchronization
- Segmentation Through Desynchronization
- Robustness Against Variation and Noise
13. Understanding Perceptual Grouping: Contour Integration
- Psychophysical and Computational Background
- Contour Integration and Segmentation
- Contour Completion and Illusory Contours
- Influence of Input Distribution on Anatomy and Performance
Evaluation and Future Directions
14. Computations in Visual Maps
- Visual Coding in the Cortex
- Visual Coding in Lissom
- Visual Coding for High-Level Tasks
15. Scaling Lissom Simulations
- Parameter Scaling Approach
- Scaling Equations
- Forming Large Maps: The Glissom Approach
- Glissom Scaling
- Scaling to Cortical Dimensions
16. Discussion: Biological Assumptions and Predictions
- Self-Organization
- Genetically Driven Development
- Temporal Coding
17. Future Work: Computational Directions
- Extensions to the Lissom Mechanisms
- Modeling New Phenomena with Lissom
- New Research Directions
- The Topograohica Cortical Map Simular
Index
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