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Visual Pattern Analyzers.
Organized to help the reader find needed information quickly and easily, this book emphasizes psychophysical experiments which measure the detection and identification of near-threshold patterns and the mathematical models used to draw inferences from experimental results.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cary :
Oxford University Press, Incorporated,
1989.
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| Colección: | Oxford psychology series.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- ""Contents""; ""Part I. INTRODUCTION""; ""1. Neurophysiology and Psychophysics""; ""1.1 Two Themes�Pattern Vision and Analyzers""; ""1.2 Analyzers in Color Vision as an Example""; ""1.3 Two Cautions About Analyzers""; ""1.4 Terminology�Responses Versus Outputs""; ""1.5 Models of Near-Threshold Pattern Vision�An Overview""; ""1.6 Neurophysiology and Pattern Vision""; ""1.7 Spatial Characteristics of Visual Neurons""; ""1.8 Temporal Characteristics of Visual Neurons""; ""1.9 Other Characteristics of Visual Neurons""
- ""1.10 Some Terminology: Analyzer, Neuron, Mechanism, Channel, and Element""""1.11 Five Psychophysical Paradigms""; ""1.12 Some Practical Matters""; ""1.13 Summary""; ""Notes""; ""2. Some Mathematics""; ""2.1 Sinusoids and Fourier Analysis""; ""2.2 Lines and Points and Impulses (Delta Functions)""; ""2.3 Windowed Sine Waves�Gabor Functions""; ""2.4 The Fourier Transform of a Sinusoidal Patch""; ""2.5 Linear Systems and Points""; ""2.6 Linear Systems and Sines""; ""2.7 How Stimulus Decompositions are Useful""; ""2.8 Selectivity of Analyzers""; ""2.9 Summary""
- ""2.10 Appendix. Fourier Transforms of Sinusoidal, Delta, Gaussian, and Gabor Functions""""Part II. ADAPTATION""; ""3. Models of Selective Effects""; ""3.1 A Typical Adaptation Experiment""; ""3.2 A Simple Fatigue Model""; ""3.3 The General Stiles Model""; ""3.4 Empirical Discrepancies in Spatial-Frequency Adaptation""; ""3.5 Some Stiles-Type Models Assuming Many Analyzers""; ""3.6 Even More General Fatigue Models""; ""3.7 Inhibition Plus Fatigue""; ""3.8 Inhibition Only""; ""3.9 Point-by-Point Fatigue (Afterimage) Explanations""; ""3.10 What Is the Function of Pattern-Selective Adaptation?""
- ""3.11 Summary""""Notes""; ""Part III. SUMMATION""; ""4. Models for Far-Apart Values""; ""4.1 A Typical Summation Experiment""; ""4.2 An Additive Single-Analyzer Model""; ""4.3 A Nonadditive, Uniform, Single-Analyzer Model (a Single-Channel Model)""; ""4.4 Multiple-Analyzers Model""; ""4.5 A Single Nonuniform Channel (Example of Interaction Between Two Dimensions)""; ""4.6 Multiple-Analyzers Models Incorporating Variability""; ""4.7 High-Threshold Multiple-Analyzers Model""; ""4.8 Quick Pooling Model""; ""4.9 Quick Pooling Model Predictions for Summation of Far-Apart Components""
- ""4.10 Summary""""4.11 Appendix. Derivation of Observable Quick Pooling Formulas""; ""Notes""; ""5. Far-Apart Values on Spatial Dimensions""; ""5.1 Overview""; ""5.2 Far-Apart Orientations""; ""5.3 The Effect of Probability Summation Across Space on Spatial-Frequency and Orientation Models""; ""5.4 Summation of Far-Apart Spatial Positions""; ""5.5 Summation Experiments on the Spatial-Extent Dimension""; ""5.6 Summation Experiments on the Spatial-Phase Dimension""; ""5.7 Summary""; ""Notes""; ""6. Close Values on Spatial Dimensions""; ""6.1 Overview""