
Contents
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The General Role of Attention in Visual Perception The General Role of Attention in Visual Perception
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Step 1: Storing the Target Template in Working Memory (NSW and CDA) Step 1: Storing the Target Template in Working Memory (NSW and CDA)
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Step 2: Detecting Relevant Features with Feature-Based Attention (Bilateral P2, N2, and P3 Components) Step 2: Detecting Relevant Features with Feature-Based Attention (Bilateral P2, N2, and P3 Components)
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The anterior p2 component The anterior p2 component
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The anterior n2 component The anterior n2 component
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The posterior n2 component The posterior n2 component
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The p3 component The p3 component
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The p1 wave and sensory confounds The p1 wave and sensory confounds
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Step 3: Focusing Covert Attention on a Peripheral Location (N2pc, SPCN, Pd, and Probe-Elicited Sensory Responses) Step 3: Focusing Covert Attention on a Peripheral Location (N2pc, SPCN, Pd, and Probe-Elicited Sensory Responses)
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Step 4: Shifting Overt Attention to the Attended Peripheral Object (Presaccadic Positivity and Spike Potential) Step 4: Shifting Overt Attention to the Attended Peripheral Object (Presaccadic Positivity and Spike Potential)
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Step 5: Expanding or Contracting Attention Around the Fixated Object Step 5: Expanding or Contracting Attention Around the Fixated Object
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A Closer Look at N2pc and Related Components A Closer Look at N2pc and Related Components
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Discovery of the N2pc Component Discovery of the N2pc Component
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Defining the N2pc Component as a Contralateral-Minus-Ipsilateral Difference Defining the N2pc Component as a Contralateral-Minus-Ipsilateral Difference
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Sensitivity of N2pc to Basic Parameters Sensitivity of N2pc to Basic Parameters
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Sequence of Lateralized Components Sequence of Lateralized Components
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Neural Generators of the N2pc Component Neural Generators of the N2pc Component
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N2pc in Special Populations N2pc in Special Populations
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What Cognitive Process Is Indexed by N2pc? What Cognitive Process Is Indexed by N2pc?
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The filtering hypothesis The filtering hypothesis
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Evidence supporting the filtering hypothesis Evidence supporting the filtering hypothesis
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Evidence against the filtering hypothesis Evidence against the filtering hypothesis
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Filtering and the n2pc and pd components Filtering and the n2pc and pd components
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An overall appraisal of the filtering hypothesis An overall appraisal of the filtering hypothesis
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Links to theories of attention Links to theories of attention
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References References
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12 Electrophysiological Correlates of the Focusing of Attention within Complex Visual Scenes: N2pc and Related ERP Components
Get accessSteven J. Luck, Ph.D., is Professor of Psychology and Director of the Center for Mind & Brain at the University of California, Davis.
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Published:18 September 2012
Cite
Abstract
As discussed in Chapter 11 of this volume, attention plays a role in the perception of simple stimuli, serving as a gain control that enhances the speed or accuracy of feedforward visual processing. However, additional attentional mechanisms are needed to support the iterative, reentrant processes and perception-action loops that are involved in the perception of complex, multiple-element stimulus arrays, and the event-related potential (ERP) correlates of these additional attentional mechanisms will be the focus of the present chapter. The first half of the chapter begins by discussing the computational problems that must be solved by these mechanisms and the sequence of steps involved in processing complex stimulus arrays, which include storing a target template in working memory, detecting relevant features, focusing attention on a peripheral location, shifting overt attention to the attended location, and then expanding or contracting attention around the object at this location. The ERP components corresponding to each of these steps are then described. The second half of the chapter provides a closer look at N2pc and related contralateral components that reflect the focusing of attention onto a peripheral location.
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