On the time course of bottom-up and top-down processes in selective visual attention: an EEG study.

According to recent models on visual attention, both the salience of signals (bottom-up) and the intention to search for particular stimuli (top-down) are determinants for attentional selection. We investigated these mechanisms by varying the top-down set of participants that had to detect either luminance or orientation changes of two symmetrically located bars. Irrelevant changes impaired target detection when they were presented spatially separated to the relevant change. Initial attentional selection was represented in posterior N1 asymmetries and was determined by both the relative salience of orientation changes and a subsequent intentional bias towards relevant stimuli. Only when salient orientation changes interfered with luminance target selection in the N1 time window did an N2pc occur. Thus, the selection of relevant information proceeds in a network whose activation is induced by a dynamic interplay of bottom-up and top-down processes.

[1]  J. Theeuwes,et al.  Electrophysiological Evidence of the Capture of Visual Attention , 2006, Journal of Cognitive Neuroscience.

[2]  R. Desimone Visual attention mediated by biased competition in extrastriate visual cortex. , 1998, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[3]  Hubert R. Dinse,et al.  Improvement and Impairment of Visually Guided Behavior through LTP- and LTD-like Exposure-Based Visual Learning , 2011, Current Biology.

[4]  E. Wascher,et al.  The influence of extrinsic motivation on competition-based selection , 2011, Behavioural Brain Research.

[5]  E. Wascher,et al.  Spatial Representations as an Emergent Feature of Perceptual Processing , 2010 .

[6]  J. Thayer,et al.  The continuing problem of false positives in repeated measures ANOVA in psychophysiology: a multivariate solution. , 1987, Psychophysiology.

[7]  E. Donchin,et al.  Detecting early communication: Using measures of movement-related potentials to illuminate human information processing , 1988, Biological Psychology.

[8]  Stefanie I. Becker,et al.  The role of relational information in contingent capture. , 2010, Journal of experimental psychology. Human perception and performance.

[9]  G. Mangun,et al.  Luminance and spatial attention effects on early visual processing. , 1995, Brain research. Cognitive brain research.

[10]  G. R Mangun,et al.  Shifting visual attention in space: an electrophysiological analysis using high spatial resolution mapping , 2000, Clinical Neurophysiology.

[11]  S. Luck,et al.  Electrophysiological correlates of feature analysis during visual search. , 1994, Psychophysiology.

[12]  C. Koch,et al.  A framework for consciousness , 2003, Nature Neuroscience.

[13]  Martin Eimer,et al.  Involuntary Attentional Capture is Determined by Task Set: Evidence from Event-related Brain Potentials , 2008, Journal of Cognitive Neuroscience.

[14]  S. Yantis,et al.  Visual Attention: Bottom-Up Versus Top-Down , 2004, Current Biology.

[15]  G. Mangun Neural mechanisms of visual selective attention. , 1995, Psychophysiology.

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

[17]  E. Wascher,et al.  Attentional Capture by Irrelevant Transients Leads to Perceptual Errors in a Competitive Change Detection Task , 2012, Front. Psychology.

[18]  J. Duncan EPS Mid-Career Award 2004: Brain mechanisms of attention , 2006, Quarterly journal of experimental psychology.

[19]  Christoph S. Herrmann,et al.  Electrophysiological Evidence for Different Types of Change Detection and Change Blindness , 2010, Journal of Cognitive Neuroscience.

[20]  J. C. Johnston,et al.  Involuntary covert orienting is contingent on attentional control settings. , 1992, Journal of experimental psychology. Human perception and performance.

[21]  W. N. Schoenfeld,et al.  Principles of Psychology , 2007 .

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

[23]  E Wascher,et al.  The interaction of stimulus- and response-related processes measured by event-related lateralizations of the EEG. , 1996, Electroencephalography and clinical neurophysiology.

[24]  I. Rock,et al.  Perception without attention: Results of a new method , 1992, Cognitive Psychology.

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

[26]  E Donchin,et al.  A new method for off-line removal of ocular artifact. , 1983, Electroencephalography and clinical neurophysiology.

[27]  Ronald A. Rensink,et al.  Competition for consciousness among visual events: the psychophysics of reentrant visual processes. , 2000, Journal of experimental psychology. General.

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

[29]  Ronald A. Rensink Seeing, sensing, and scrutinizing , 2000, Vision Research.

[30]  John Duncan,et al.  A neural basis for visual search in inferior temporal cortex , 1993, Nature.

[31]  Jessica Sänger,et al.  Visuo-spatial processing and the N1 component of the ERP. , 2009, Psychophysiology.

[32]  S. Luck,et al.  Sources of attention-sensitive visual event-related potentials , 2005, Brain Topography.

[33]  Andrea Schankin,et al.  Electrophysiological correlates of stimulus processing in change blindness , 2007, Experimental Brain Research.

[34]  R. T. Pivik,et al.  Guidelines for the recording and quantitative analysis of electroencephalographic activity in research contexts. , 1993, Psychophysiology.

[35]  R. Desimone,et al.  Interacting Roles of Attention and Visual Salience in V4 , 2003, Neuron.

[36]  Paul M. Corballis,et al.  Event-Related Potentials Dissociate Effects of Salience and Space in Biased Competition for Visual Representation , 2010, PloS one.

[37]  C. Koch,et al.  Spatial vision thresholds in the near absence of attention , 1997, Vision Research.

[38]  M. Eimer Event-related potential correlates of transient attention shifts to color and location , 1995, Biological Psychology.

[39]  Andreas Keil,et al.  Time course of competition for visual processing resources between emotional pictures and foreground task. , 2008, Cerebral cortex.

[40]  W. James,et al.  The Principles of Psychology. , 1983 .

[41]  Edmund Wascher,et al.  The Posterior Contralateral Negativity as a Temporal Indicator of Visuo-Spatial Processing , 2005 .

[42]  H. Müller,et al.  Stimulus Saliency Modulates Pre-Attentive Processing Speed in Human Visual Cortex , 2011, PloS one.

[43]  Benoit Brisson,et al.  Stimulus intensity affects the latency but not the amplitude of the N2pc , 2007, Neuroreport.

[44]  E. Knudsen Fundamental components of attention. , 2007, Annual review of neuroscience.

[45]  Anders Petersen,et al.  Attentional Capture by Salient Distractors during Visual Search Is Determined by Temporal Task Demands , 2012, Journal of Cognitive Neuroscience.

[46]  P. Rabbitt,et al.  Reflexive and voluntary orienting of visual attention: time course of activation and resistance to interruption , 1989 .

[47]  Martin Eimer,et al.  Attentional capture by visual singletons is mediated by top-down task set: new evidence from the N2pc component. , 2008, Psychophysiology.

[48]  E. Wascher,et al.  Tuning perceptual competition. , 2010, Journal of neurophysiology.

[49]  Albert A. Michelson,et al.  Studies in Optics , 1995 .

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

[51]  R. Remington,et al.  Selectivity in distraction by irrelevant featural singletons: evidence for two forms of attentional capture. , 1998, Journal of experimental psychology. Human perception and performance.

[52]  Anthony J. Ries,et al.  Automatic Versus Contingent Mechanisms of Sensory-Driven Neural Biasing and Reflexive Attention , 2005, Journal of Cognitive Neuroscience.

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