The neural basis of attentional control in visual search

[1]  H. Pashler.  Dual-task interference in simple tasks: data and theory. , 1994, Psychological bulletin.

[2]  R. Krauzlis,et al.  Superior colliculus and visual spatial attention. , 2013, Annual review of neuroscience.

[3]  S. Treue,et al.  Feature-Based Attention Increases the Selectivity of Population Responses in Primate Visual Cortex , 2004, Current Biology.

[4]  S J Luck,et al.  Spatial filtering during visual search: evidence from human electrophysiology. , 1994, Journal of experimental psychology. Human perception and performance.

[5]  George R. Mangun,et al.  Baseline Shifts do not Predict Attentional Modulation of Target Processing During Feature-Based Visual Attention , 2007, Frontiers in human neuroscience.

[6]  Katherine M. Armstrong,et al.  Selective gating of visual signals by microstimulation of frontal cortex , 2003, Nature.

[7]  J Duncan,et al.  Responses of neurons in macaque area V4 during memory-guided visual search. , 2001, Cerebral cortex.

[8]  Jillian H. Fecteau,et al.  Salience, relevance, and firing: a priority map for target selection , 2006, Trends in Cognitive Sciences.

[9]  T. Horowitz,et al.  Attentional enhancement during multiple-object tracking , 2009, Psychonomic bulletin & review.

[10]  J. Henderson.  Human gaze control during real-world scene perception , 2003, Trends in Cognitive Sciences.

[11]  M. Eimer.  The N2pc component as an indicator of attentional selectivity. , 1996, Electroencephalography and clinical neurophysiology.

[12]  J. Duncan.  The locus of interference in the perception of simultaneous stimuli. , 1980, Psychological review.

[13]  S. Hillyard,et al.  Selective attention to the color and direction of moving stimuli: Electrophysiological correlates of hierarchical feature selection , 1996, Perception & psychophysics.

[14]  F. Hamker.  The reentry hypothesis: the putative interaction of the frontal eye field, ventrolateral prefrontal cortex, and areas V4, IT for attention and eye movement. , 2005, Cerebral cortex.

[15]  Jeremy M. Wolfe,et al.  Guided Search 4.0: Current Progress With a Model of Visual Search , 2007, Integrated Models of Cognitive Systems.

[16]  P. Roelfsema,et al.  Different States in Visual Working Memory: When It Guides Attention and When It Does Not , 2022 .

[17]  S. Hochstein,et al.  View from the Top Hierarchies and Reverse Hierarchies in the Visual System , 2002, Neuron.

[18]  J. Jay Todd,et al.  Capacity limit of visual short-term memory in human posterior parietal cortex , 2004, Nature.

[19]  Charan Ranganath,et al.  Category expectation modulates baseline and stimulus-evoked activity in human inferotemporal cortex , 2009, Brain Research.

[20]  R. Desimone,et al.  Responses of Neurons in Inferior Temporal Cortex during Memory- Guided Visual Search , 1998 .

[21]  I. Toni,et al.  Oscillations , 2018, Physics to a Degree.

[22]  C. Koch,et al.  Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.

[23]  Benoit Brisson,et al.  Dissociation of the N2pc and sustained posterior contralateral negativity in a choice response task , 2008, Brain Research.

[24]  J. Maunsell,et al.  Using Neuronal Populations to Study the Mechanisms Underlying Spatial and Feature Attention , 2011, Neuron.

[25]  K. Rayner.  The 35th Sir Frederick Bartlett Lecture: Eye movements and attention in reading, scene perception, and visual search , 2009, Quarterly journal of experimental psychology.

[26]  S. Luck,et al.  Feature-based attention modulates feedforward visual processing , 2009, Nature Neuroscience.

[27]  Hilda M. Fehd,et al.  Mechanisms of feature- and space-based attention: response modulation and baseline increases. , 2007, Journal of neurophysiology.

[28]  M. Chun,et al.  Selecting and perceiving multiple visual objects , 2009, Trends in Cognitive Sciences.

[29]  Maro G. Machizawa,et al.  Neural activity predicts individual differences in visual working memory capacity , 2004, Nature.

[30]  Kimron Shapiro,et al.  Direct measurement of attentional dwell time in human vision , 1994, Nature.

[31]  C. Bundesen,et al.  A neural theory of visual attention: bridging cognition and neurophysiology. , 2005, Psychological review.

[32]  A. Hollingworth.  Two forms of scene memory guide visual search: Memory for scene context and memory for the binding of target object to scene location , 2009 .

[33]  G. Boynton,et al.  Global effects of feature-based attention in human visual cortex , 2002, Nature Neuroscience.

[34]  Shepherd Ivory Franz.  Review of Rational sex ethics: further investigations and Sane sex life and sane sex living. , 1919 .

[35]  G. Mangun,et al.  Pre-target activity in visual cortex predicts behavioral performance on spatial and feature attention tasks , 2006, Brain Research.

[36]  E. Vogel,et al.  Neural Measures of Individual Differences in Selecting and Tracking Multiple Moving Objects , 2008, The Journal of Neuroscience.

[37]  Harold Pashler,et al.  A Boolean map theory of visual attention. , 2007, Psychological review.

[38]  Michael W. L. Chee,et al.  Preparatory patterns of neural activity predict visual category search speed , 2013, NeuroImage.

[39]  E. Miller,et al.  Task-Dependent Changes in Short-Term Memory in the Prefrontal Cortex , 2010, The Journal of Neuroscience.

[40]  D. Kahneman,et al.  The reviewing of object files: Object-specific integration of information , 1992, Cognitive Psychology.

[41]  J. Duncan,et al.  Visual search and stimulus similarity. , 1989, Psychological review.

[42]  R. Desimone,et al.  Neural mechanisms of selective visual attention. , 1995, Annual review of neuroscience.

[43]  J. Theeuwes.  Top-down and bottom-up control of visual selection. , 2010, Acta psychologica.

[44]  John H. R. Maunsell,et al.  Feature-based attention in visual cortex , 2006, Trends in Neurosciences.

[45]  J. Wolfe,et al.  What attributes guide the deployment of visual attention and how do they do it? , 2004, Nature Reviews Neuroscience.

[46]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[47]  C. Curtis,et al.  Persistent activity in the prefrontal cortex during working memory , 2003, Trends in Cognitive Sciences.

[48]  J. Wolfe,et al.  What Can 1 Million Trials Tell Us About Visual Search? , 1998 .

[49]  P. Cavanagh,et al.  Flexible cognitive resources: competitive content maps for attention and memory , 2013, Trends in Cognitive Sciences.

[50]  M. Goldberg,et al.  The representation of visual salience in monkey parietal cortex , 1998, Nature.

[51]  K L Shapiro,et al.  Temporary suppression of visual processing in an RSVP task: an attentional blink? . , 1992, Journal of experimental psychology. Human perception and performance.

[52]  Martin Eimer,et al.  Rapid guidance of visual search by object categories. , 2014, Journal of experimental psychology. Human perception and performance.

[53]  John Duncan,et al.  Shape-specific preparatory activity mediates attention to targets in human visual cortex , 2009, Proceedings of the National Academy of Sciences.

[54]  V. Lollo,et al.  The preattentive emperor has no clothes: a dynamic redressing. , 2001, Journal of experimental psychology. General.

[55]  N. Sigala,et al.  Dynamic Coding for Cognitive Control in Prefrontal Cortex , 2013, Neuron.

[56]  Jeffrey D Schall,et al.  On the role of frontal eye field in guiding attention and saccades , 2004, Vision Research.

[57]  Julie D. Golomb,et al.  A taxonomy of external and internal attention. , 2011, Annual review of psychology.

[58]  B. Postle.  Working memory as an emergent property of the mind and brain , 2006, Neuroscience.

[59]  M. Chun,et al.  Dissociable neural mechanisms supporting visual short-term memory for objects , 2006, Nature.

[60]  J. Wolfe,et al.  Guided Search 2.0 A revised model of visual search , 1994, Psychonomic bulletin & review.

[61]  W. James.  The principles of psychology , 1983 .

[62]  S. Luck,et al.  Attention to Features Precedes Attention to Locations in Visual Search: Evidence from Electromagnetic Brain Responses in Humans , 2004, The Journal of Neuroscience.

[63]  G. E. Alexander,et al.  Neuron Activity Related to Short-Term Memory , 1971, Science.

[64]  Edward F. Ester,et al.  Spatially Global Representations in Human Primary Visual Cortex during Working Memory Maintenance , 2009, The Journal of Neuroscience.

[65]  J. Wolfe,et al.  Tracking unique objects , 2007, Perception & psychophysics.

[66]  S. Martinez-Conde,et al.  The impact of microsaccades on vision: towards a unified theory of saccadic function , 2013, Nature Reviews Neuroscience.

[67]  F. Tong,et al.  Decoding reveals the contents of visual working memory in early visual areas , 2009, Nature.

[68]  S. Kastner,et al.  A neural basis for real-world visual search in human occipitotemporal cortex , 2011, Proceedings of the National Academy of Sciences.

[69]  Pieter R Roelfsema,et al.  Matching of visual input to only one item at any one time , 2009, Psychological research.

[70]  Masa-aki Sato,et al.  The effects of feature attention on prestimulus cortical activity in the human visual system. , 2008, Cerebral cortex.

[71]  Li Fei-Fei,et al.  Neural mechanisms of rapid natural scene categorization in human visual cortex , 2009, Nature.

[72]  J. Enns,et al.  Spatial selection and target identification are separable processes in visual search. , 2010, Journal of vision.

[73]  Edward Awh,et al.  RETRACTED: A Common Discrete Resource for Visual Working Memory and Visual Search , 2013, Psychological science.

[74]  Sean T. Stevens,et al.  Comparing the time course and efficacy of spatial and feature-based attention , 2007, Vision Research.

[75]  Mark D'Esposito,et al.  From cognitive to neural models of working memory , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.

[76]  Richard P. Heitz,et al.  On the origin of event-related potentials indexing covert attentional selection during visual search. , 2009, Journal of neurophysiology.

[77]  C. Gilbert,et al.  Top-down influences on visual processing , 2013, Nature Reviews Neuroscience.

[78]  J. Enns,et al.  What’s new in visual masking? , 2000, Trends in Cognitive Sciences.

[79]  Geoffrey F Woodman,et al.  Serial deployment of attention during visual search. , 2003, Journal of experimental psychology. Human perception and performance.

[80]  N. Cowan.  The magical number 4 in short-term memory: A reconsideration of mental storage capacity , 2001, Behavioral and Brain Sciences.

[81]  Yuli D. Chashechkin,et al.  Transportation of a dye in upstream and downstream wakes of the cylinder in continuously stratified liquid , 2007, J. Vis..

[82]  G. Boynton,et al.  Feature-Based Attentional Modulations in the Absence of Direct Visual Stimulation , 2007, Neuron.

[83]  Carlo Umiltà,et al.  Attentional selection and identification of visual objects are reflected by distinct electrophysiological responses , 2007, Experimental Brain Research.

[84]  A. Treisman,et al.  Conjunction search revisited. , 1990, Journal of experimental psychology. Human perception and performance.

[85]  Robert Desimone,et al.  Parallel and Serial Neural Mechanisms for Visual Search in Macaque Area V4 , 2005, Science.

[86]  Karl J. Friston,et al.  The physiological basis of attentional modulation in extrastriate visual areas , 1999, Nature Neuroscience.

[87]  Dwight J. Kravitz,et al.  The ventral visual pathway: an expanded neural framework for the processing of object quality , 2013, Trends in Cognitive Sciences.

[88]  E. Vogel,et al.  Visual working memory capacity: from psychophysics and neurobiology to individual differences , 2013, Trends in Cognitive Sciences.

[89]  A. Baddeley.  Working memory: theories, models, and controversies. , 2012, Annual review of psychology.

[90]  M. Chun,et al.  Contextual cueing of visual attention , 2022 .

[91]  P. Cavanagh,et al.  Tracking multiple targets with multifocal attention , 2005, Trends in Cognitive Sciences.

[92]  Klaus Oberauer,et al.  Neural Evidence for a Distinction between Short-term Memory and the Focus of Attention , 2012, Journal of Cognitive Neuroscience.

[93]  Martin Eimer,et al.  Spatial Attention Can Be Allocated Rapidly and in Parallel to New Visual Objects , 2014, Current Biology.

[94]  M. Posner,et al.  Attention and the detection of signals. , 1980, Journal of experimental psychology.

[95]  Geoffrey F. Woodman,et al.  Attentional Templates in Visual Working Memory , 2011, The Journal of Neuroscience.

[96]  R. Desimone,et al.  Selective attention gates visual processing in the extrastriate cortex. , 1985, Science.

[97]  E. Vogel,et al.  Contralateral delay activity provides a neural measure of the number of representations in visual working memory. , 2010, Journal of neurophysiology.

[98]  Marcia K. Johnson,et al.  Memory: Enduring Traces of Perceptual and Reflective Attention , 2011, Neuron.