Neurobiology of Attention

Edited by Laurent Itti and Geraint Rees

• I: FOUNDATIONSChapter 1: Computational Foundations for Attentive ProcessesChapter 2: Capacity Limits for Spatial DiscriminationChapter 3: Directed Visual Attention and the Dynamic Control of Information FlowChapter 4: Selective Attention as an Optimal Computational StrategyChapter 5: Surprise: A Shortcut for Attention?Chapter 6: A Heteromodal Large-Scale Network for Spatial AttentionChapter 7: Parietal Mechanisms of Attentional Control: Locations, Features, and ObjectsChapter 8: Visual Cortical Circuits and Spatial AttentionChapter 9: Psychopharmacology of Human AttentionChapter 10: Neuropharmacology of AttentionChapter 11: Identifying the Neural Systems of Top-Down Attentional Control: A Meta-analytic ApproachChapter 12: Attention Capture: The Interplay of Expectations, Attention, and AwarenessChapter 13: Change BlindnessChapter 14: Development of Covert Orienting in Young InfantsChapter 15: Prior EntryChapter 16: Inhibition of ReturnChapter 17: Guidance of Visual Search by Preattentive InformationChapter 18: The Top in Top-Down AttentionChapter 19: Allocation of Attention in Three-Dimensional SpaceChapter 20: Covert Attention and Saccadic Eye MovementsChapter 21: Prefrontal Selection and Control of Covert and Overt OrientingChapter 22: Dissociation of Selection from Saccade ProgrammingChapter 23: Space- and Object-Based AttentionChapter 24: Attention and BindingChapter 25: Top-Down Facilitation of Visual Object RecognitionChapter 26: Spatial Processing of Environmental RepresentationsChapter 27: Decision and AttentionChapter 28: Visual Attention and Emotional PerceptionChapter 29: The Difference between Visual Attention and Awareness: A Cognitive Neuroscience PerspectiveChapter 30: Reaching Affects Saccade TrajectoriesChapter 31: The Premotor Theory of AttentionChapter 32: Cross-Modal Consequences of Human Spatial AttentionChapter 33: Attention and Scene UnderstandingII: FUNCTIONSChapter 34: Visual Search and Popout in InfancyChapter 35: Attention in ConditioningChapter 36: Electrophysiology of Reflexive AttentionChapter 37: Natural Scene Statistics and Salient Visual FeaturesChapter 38: Salience of Feature ContrastChapter 39: Stimulus-Driven Guidance of Visual Attention in Natural ScenesChapter 40: Contextual Guidance of Visual AttentionChapter 41: Gist of the SceneChapter 42: Temporal Orienting of AttentionChapter 43: Visual Search: The Role of Memory for Rejected DistractorsChapter 44: The Neuropsychology of Visual Feature BindingChapter 45: Visual Saliency and Spike Timing in the Ventral Visual PathwayChapter 46: Object Recognition in Cortex: Neural Mechanisms, and Possible Roles for AttentionChapter 47: Binding Contour Segments into Spatially Extended ObjectsChapter 48: Scanpath Theory, Attention, and Image Processing Algorithms for Predicting Human Eye FixationsChapter 49: The Feature Similarity Gain Model of Attention: Unifying Multiplicative Effects of Spatial and Feature-based AttentionChapter 50: Biasing Competition in Human Visual CortexChapter 51: Nonsensory Signals in Early Visual CortexChapter 52: Effects of Attention on Auditory Perceptual OrganizationChapter 53: Attention in LanguageChapter 54: Attention and Spatial LanguageChapter 55: The Sustained Attention to Response Test (SART)Chapter 56: ERP Measures of Multiple Attention Deficits Following Prefrontal DamageChapter 57: Nonspatially Lateralized Mechanisms in Hemispatial NeglectChapter 58: Visual Extinction and Hemispatial Neglect after Brain Damage: Neurophysiological Basis of Residual ProcessingChapter 59: Attention in Split-Brain PatientsChapter 60: Divided Attention in the Normal and the Split Brain: Chronometry and ImagingIII: MECHANISMSChapter 61: Neurophysiological Correlates of the Attentional SpotlightChapter 62: Spatially-Specific Attentional Modulation Revealed by fMRIChapter 63: The Neural Basis of the Attentional BlinkChapter 64: Neurophysiological Correlates of the Reflexive Orienting of Spatial AttentionChapter 65: Specifying the Components of Attention in a Visual Search TaskChapter 66: Neural Evidence for Object-based AttentionChapter 67: Location- or Feature-based Targeting of Spatial AttentionChapter 68: Dimension-based Attention in Pop-out SearchChapter 69: Irrelevant Singletons Capture AttentionChapter 70: Attentional Modulation of Apparent Stimulus ContrastChapter 71: Attentional Suppression Early in the Macaque Visual SystemChapter 72: Attentional Modulation in the Human Lateral Geniculate Nucleus and PulvinarChapter 73: Transient Covert Attention Increases Contrast Sensitivity and Spatial Resolution: Support for Signal EnhancementChapter 74: External Noise Distinguishes Mechanisms of AttentionChapter 75: Attentional Modulation and Changes in Effective ConnectivityChapter 76: Attentional Modulation of Surround InhibitionChapter 77: Attentional Processes in Texture PerceptionChapter 78: Mechanisms of Perceptual LearningChapter 79: Lateral Interactions between Targets and Flankers Require AttentionChapter 80: Attention and Changes in Neural SelectivityChapter 81: Attentional Effects on Motion ProcessingChapter 82: ERP Studies of Selective Attention to Nonspatial FeaturesChapter 83: Effects of Attention on Figure-Ground Responses in the Primary Visual Cortex during Working MemoryChapter 84: Electrophysiological and Neuroimaging Approaches to the Study of Visual AttentionChapter 85: The Timing of Attentional Modulation of Visual Processing as Indexed by ERPsChapter 86: Selective Visual Attention Modulates Oscillatory Neuronal SynchronizationChapter 87: Putative Role of Oscillations and Synchrony in Cortical Signal Processing and AttentionChapter 88: Attention to Tactile Stimuli Increases Neural Synchrony in Somatosensory CortexChapter 89: Crossmodal Attention in Event PerceptionIV: SYSTEMSChapter 90: The FeatureGate Model of Visual SelectionChapter 91: Probabilistic Models of Attention Based on Iconic Representations and Predictive CodingChapter 92: The Selective Tuning Model for Visual AttentionChapter 93: The Primary Visual Cortex Creates a Bottom-up Saliency MapChapter 94: Models of Bottom-up Attention and SaliencyChapter 95: Saliency in Computer VisionChapter 96: Contextual Influences on SaliencyChapter 97: A Neurodynamical Model of Visual AttentionChapter 98: How the Detection of Objects in Natural Scenes Constrains Attention in TimeChapter 99: Memory-Driven Visual Attention: An Emergent Behavior of Map-Seeking CircuitsChapter 100: The Role of Short-Term Memory in Visual AttentionChapter 101: Scene Segmentation through SynchronizationChapter 102: Attentive Wide-Field Sensing for Visual Telepresence and SurveillanceChapter 103: Neuromorphic Selective Attention SystemsChapter 104: The Role of Visual Attention in the Control of LocomotionChapter 105: Attention Architectures for Machine Vision and Mobile RobotsChapter 106: Attention for Computer Graphics RenderingChapter 107: Linking Attention to Learning, Expectation, Competition, and ConsciousnessChapter 108: Attention-Guided Recognition Based on “What” and “Where”: Representations: A Behavioral ModelChapter 109: A Model of Attention and Recognition by Information MaximizationIndex

"4 STARS! - If there is one book to own on the topic of attention, this is it. Although it is not difficult to find books written on more specific attention topics, this is probably the most complete single volume on the market dedicated to attention." --Christopher J. Graver, PhD, University of Michigan Health SysteM, in DOODY'S (2005)"This book will be a standard reference for some time to come in this fascinating and important field." --Donlin M. Long, in NEUROSURGERY QUARTERLY (2005)"... this volume would be a valuable addition to the bookshelf of any laboratory concerned with perception and attentional issues. The extensive index also ensures the book is an excellent reference volume, showing once again how issues are represented across each section of the book, from their historical foundations to their standing in computational neuroscience and all of the human neuroscience that transpired in-between. Owing to the immense coverage and depth of this book, it should grab the attention of researchers concerned with neurobiology,experienced and naive alike." --Amanda Ellison, Department of Psychology, Oxford in PERCEPTION, Vol 35 (2006)