The Neuroscience of Attention: The Neuroscience of Attention

The Neuroscience of Attention: The Neuroscience of Attention : Attentional Control and Selection

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The ability to selectively attend to events in the world around us is a core cognitive function. It prevents distraction and enables humans and animals to dedicate perceptual, cognitive, and motor resources to deal with the most pressing current challenges. When attention systems of the brain are damaged by disease or trauma, the impact for the individual and society can be significant, and therefore, understanding the neural mechanisms of attention is a central goal in neuroscience. In addition, understanding how attention mechanisms operate is critical for advancing the important mission of developing the most effective training regimes for a wide range of duties, as well as for creating new methods for educating the world's growing population. This text addresses the basic neuroscience of how the brain controls the focus of attention, and how this focused attention influences sensory and motor processes. This volume will provide the reader with a selection of the models, mechanisms and findings in the neuroscience of attentional control and selection from leading authorities working in human and animal models, and incorporating a array of neuroscience methods from single neuron recordings to functional brain imaging, and advanced modeling. The book begins with contributions that describe attentional selection, relying largely on evidence from attention in vision. Subsequent chapters address attentional control mechanisms in cortical and subcortical brain networks. Finally, the role of attention in action, short-term memory, and emotion are discussed.show more

Product details

  • Hardback | 296 pages
  • 188 x 263 x 26mm | 907.18g
  • Oxford University Press Inc
  • New York, United States
  • English
  • New.
  • 0195334361
  • 9780195334364
  • 1,310,041

About George R. Mangun

George R. Mangun is the Dean of Social Sciences, and Professor of Psychology and Neuroscience at UC Davis. He is a world authority on the brain mechanisms of attention, and a leading figure in cognitive neuroscience. Dr. Mangun has published and lectured widely on brain attention systems, and is well known for his innovative promotion of integrated electrophysiological and brain imaging methods to study the mechanisms of attention.show more

Review quote

It covers a surprising array of topics within the metatopic of attentional control. It wastes no time delving into cognitive neuroscience studies to describe attentional selection for locations, objects, and features. * Doody's *show more

Table of contents

Contents ; Contributors ; 1. Attentional Selection for Locations, Features and Objects in Vision ; Jens-Max Hopf, Carsten N. Boehler, George R. Mangun, Mircea A. Schoenfeld, and Hans-Jochen Heinze ; 2. Involuntary attention ; Joseph B. Hopfinger and Emily L. Parks ; 3. Thalamic Control of Visual Attention ; Sabine Kastner, Yuri B. Saalmann, and Keith A. Schneider ; 4. Visual Attention: Computational Problems, Strategies, and Mechanisms ; John K. Tsotsos, Albert L. Rothenstein, Evgueni Simine, and Andrei Zaharescu ; 5. Orienting to the Environment: Separate Contributions of Dorsal and Ventral Frontoparietal Attention Networks ; Carlo Sestieri, Gordon L. Shulman, and Maurizio Corbetta ; 6. Midbrain and Forebrain Systems for Bottom-up Control of Spatial Attention ; Eric I. Knudsen ; 7. Attention and Action in the Frontal Eye Fields ; Katherine M. Armstrong, Robert J. Schafer, Mindy H. Chang, and Tirin Moore ; 8. Attention and the Parietal Lobe ; Michael E. Goldberg, Angela Gee, Anna Ipata, James W. Bisley, and Jacqueline Gottlieb ; 9. A Stage Theory of Attention and Action ; Jeffrey D. Schall and Geoffrey F. Woodman ; 10. Top-Down Biases in Visual Short-Term Memory ; Mark Stokes and Anna C. Nobre ; 11. Conflict control loop theory of cognitive control ; Marie K. Krug and Cameron S. Carter ; 12. Emotional influences on Visuospatial Attention ; Harlan M. Fichtenholtz and Kevin S. LaBar ; Indexshow more

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