Articles liés à Vision and Attention
Synopsis
1 Vision and Attention.- 1.1 What Is Attention?.- 1.1.1 Should "attention" be regarded as a discrete behaviour?.- 1.2 Selective Visual Attention.- 1.2.1 What is selected?.- 1.2.2 How is selection achieved? How much salience is due to the sensory input itself and how much to higher processes?.- 1.2.3 What is the connection between selection and attention?.- 1.2.4 Mechanisms of selective attention.- 1.3 Parsing Attention. Is Attention Central to the Act of Seeing or is it Merely a Servant Carrying its Master to the Right Place?.- 1.4 Directing Attention.- 1.5 Conclusions.- 2 Shifts of Attention and Saccades Are Very Similar. Are They Causally Linked?.- 2.1 Spatial Attributes of Attention.- 2.2 Coordinate Space of Focal Attention.- 2.3 Overt and Covert Orientation.- 2.4 Top-Down versus Bottom-Up Attentional Control.- 2.5 Shifting Attention.- 2.6 Coupling Between Saccadic Eye Movements and Attentional Shifts.- 2.7 Adaptive Control of Saccadic Eye Movements.- 2.8 Nature of the Error Signal.- 2.9 Are Shifts of Attention also Adaptable?.- 2.10 Might Attention Provide an Error Signal to Saccade-Gain Adaptation?.- 3 Contrast Gain, Area Summation and Temporal Tuning in Primate Visual Cortex.- 3.1 Introduction.- 3.2 Gain Control.- 3.3 Contrast-Gain Control.- 3.4 Beyond the Classical Receptive Field.- 3.5 Area Summation and Contrast.- 3.6 Temporal Tuning and Contrast.- 3.7 Temporal Tuning and Contrast in V1.- 3.8 Discussion.- 4 Global Processes in Form Vision and Their Relationship to Spatial Attention.- 4.1 Introduction to the Ventral Visual Pathway.- 4.2 Components of Intermediate Form Analysis.- 4.3 Changing Views of V4.- 4.4 Evidence for Global Orientation Pooling in Human Vision.- 4.5 Neural Model for Configurai Units.- 4.6 Configural Units and Receptive Field Size.- 4.7 Evidence Pointing to Configurai Units in V4 in the Human Brain.- 4.8 Application of V4 Model Units to Faces.- 4.9 Selective Attention.- 4.10 Summary and Overview.- 5 Visual Attention: The Active Vision Perspective.- 5.1 Introduction.- 5.2 Active Vision.- 5.3 Reading.- 5.4 Scenes and Objects.- 5.5 Search.- 5.6 Rethinking Covert Attention.- 5.7 Conclusion.- 6 Complexity, Vision, and Attention.- 6.1 What Is Computational Complexity?.- 6.1.1 Some basic definitions.- 6.1.2 Dealing with NP-completeness.- 6.1.3 Vision and NP-completeness.- 6.2 Can Perception Be Modeled Computationally?.- 6.3 Visual Search.- 6.3.1 Definition.- 6.3.2 Theory.- 6.3.3 Implications.- 6.4 Complexity Level Analysis of Vision.- 6.5 The Selective-Tuning Model of Visual Attention.- 6.6 Conclusions.- 7 Motion-Disparity Interaction and the Scaling of Stereoscopic Disparity.- 7.1 Cue Combination in Depth Perception.- 7.2 Depth Scaling.- 7.2.1 Failures of depth constancy with stereo.- 7.2.2 Distance scaling of size, shape, and depth.- 7.3 Stereomotion Interaction for Depth Scaling.- 7.3.1 Why combine stereo and motion?.- 7.3.2 Evidence with a single object.- 7.3.3 Two neighboring objects.- 7.3.4 Two objects and alternative computations.- 7.3.5 Two objects at unequal distances.- 7.4 Summary.- 8 Signal Detection and Attention in Systems Governed By Multiplicative Noise.- 8.1 Introduction.- 8.2 Signal Detection Theory for Ideal and Non-ideal Observers.- 8.2.1 Overview of ideal observer analysis.- 8.2.2 The concept of probability summation.- 8.2.3 Attentional summation in 2AFC experiments derives from the difference distribution.- 8.2.4 2AFC attentional summation with uncertainty within a fixed attention window.- 8.3 Distraction Theory.- 8.4 Effects of Multiplicative Noise.- 8.4.1 Multiplicative noise makes the psychometric function shallower.- 8.4.2 Dramatic probability summation with multiplicative noise.- 8.4.3 Suprabehavioral neural sensitivity and its implications for attentional selection.- 8.4.4 Fully multiplicative noise introduces psychometric saturation.- 9 Change Blindness: Implications for the Nature of Visual Attention.- 9.1 Visual Attention: Role in Scene Perception.- 9.1.1 Change blindness.- 9.
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