Shifting Attention in Feature Space: Fast Facilitation of the To-Be-Attended Feature Is Followed by Slow Inhibition of the To-Be-Ignored Feature

Abstract In an explorative study, we investigated the time course of attentional selection shifts in feature-based attention in early visual cortex by means of steady-state visual evoked potentials (SSVEPs). To this end, we presented four flickering random dot kinematograms with red/blue, horizontal/vertical bars, respectively. Given the oscillatory nature of SSVEPs, we were able to investigate neural temporal dynamics of facilitation and inhibition/suppression when participants shifted attention either within (i.e., color to color) or between feature dimensions (i.e., color to orientation). Extending a previous study of our laboratory [Müller, M. M., Trautmann, M., & Keitel, C. Early visual cortex dynamics during top–down modulated shifts of feature-selective attention. Journal of Cognitive Neuroscience, 28, 643–655, 2016] to a full factorial design, we replicated a critical finding of our previous study: Facilitation of color was quickest, regardless of the origin of the shift (from color or orientation). Furthermore, facilitation of the newly to-be-attended and inhibition/suppression of the then to-be-ignored feature is not a time-invariant process that occurs instantaneously, but a biphasic one with longer time delays between the two processes. Interestingly, inhibition/suppression of the to-be-ignored feature after the shifting cue had a much longer latency with between- compared to within-dimensional shifts (by about 130–150 msec). The exploratory nature of our study is reasoned by two limiting factors: (a) Identical to our precursor study, we found no attentional SSVEP amplitude time course modulation for orientation, and (b) the signal-to-noise ratio for single trials was too poor to allow for reliable statistical testing of the latencies that were obtained with running t tests of averaged data.

[1]  Joy J Geng,et al.  Distractor Probability Changes the Shape of the Attentional Template , 2017, Journal of experimental psychology. Human perception and performance.

[2]  Steven A. Hillyard,et al.  Attention Facilitates Multiple Stimulus Features in Parallel in Human Visual Cortex , 2008, Current Biology.

[3]  P. Cavanagh,et al.  Retinotopy and color sensitivity in human visual cortical area V8 , 1998, Nature Neuroscience.

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

[5]  Marisa Carrasco,et al.  The attentional effects of single cues and color singletons on visual sensitivity. , 2013, Journal of experimental psychology. Human perception and performance.

[6]  Hermann J. Müller,et al.  Dynamic Weighting of Feature Dimensions in Visual Search: Behavioral and Psychophysiological Evidence , 2012, Front. Psychology.

[7]  Steven J. Luck,et al.  Dynamics of Feature-based Attentional Selection during Color–Shape Conjunction Search , 2018, Journal of Cognitive Neuroscience.

[8]  Prashant Parikh.  A Theory of Communication , 2010 .

[9]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[10]  E. Vogel,et al.  Sensory gain control (amplification) as a mechanism of selective attention: electrophysiological and neuroimaging evidence. , 1998, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[11]  Neil A. Macmillan.  Signal Detection Theory , 2002 .

[12]  Matthias M. Müller,et al.  Attentional Selection of Feature Conjunctions Is Accomplished by Parallel and Independent Selection of Single Features , 2015, The Journal of Neuroscience.

[13]  S. Zeki,et al.  The temporal order of binding visual attributes , 2006, Vision Research.

[14]  S. Hillyard,et al.  Selective attention to stimulus location modulates the steady-state visual evoked potential. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[15]  Matthias M. Müller,et al.  Time matters: Feature-specific prioritization follows feature integration in visual object processing , 2019, NeuroImage.

[16]  R. Desimone,et al.  A backward progression of attentional effects in the ventral stream , 2009, Proceedings of the National Academy of Sciences.

[17]  Matthias M. Müller,et al.  Early Visual Cortex Dynamics during Top–Down Modulated Shifts of Feature-Selective Attention , 2016, Journal of Cognitive Neuroscience.

[18]  H. Müller,et al.  Searching for unknown feature targets on more than one dimension: Investigating a “dimension-weighting” account , 1996, Perception & psychophysics.

[19]  Richard B Buxton,et al.  Putting spatial attention on the map: timing and localization of stimulus selection processes in striate and extrastriate visual areas , 2001, Vision Research.

[20]  D. Hubel,et al.  Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.

[21]  T. Allison,et al.  Electrophysiological studies of color processing in human visual cortex. , 1993, Electroencephalography and clinical neurophysiology.

[22]  B. Rockstroh,et al.  Statistical control of artifacts in dense array EEG/MEG studies. , 2000, Psychophysiology.

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

[24]  Søren K. Andersen,et al.  Global Enhancement but Local Suppression in Feature-based Attention , 2016, Journal of Cognitive Neuroscience.

[25]  S. Zeki.  Colour coding in the cerebral cortex: The reaction of cells in monkey visual cortex to wavelengths and colours , 1983, Neuroscience.

[26]  Bevil R. Conway,et al.  Toward a Unified Theory of Visual Area V4 , 2012, Neuron.

[27]  C Gundlach,et al.  Spatial Attentional Selection Modulates Early Visual Stimulus Processing Independently of Visual Alpha Modulations. , 2020, Cerebral cortex.

[28]  R. M. Boynton,et al.  Comparison of four methods of heterochromatic photometry. , 1972, Journal of the Optical Society of America.

[29]  S. Andersen,et al.  Behavioral performance follows the time course of neural facilitation and suppression during cued shifts of feature-selective attention , 2010, Proceedings of the National Academy of Sciences.

[30]  Leslie G. Ungerleider,et al.  Increased Activity in Human Visual Cortex during Directed Attention in the Absence of Visual Stimulation , 1999, Neuron.

[31]  H. J. Muller,et al.  Visual search for singleton feature targets across dimensions: Stimulus- and expectancy-driven effects in dimensional weighting. , 2003, Journal of experimental psychology. Human perception and performance.

[32]  E. Erdfelder,et al.  Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses , 2009, Behavior research methods.

[33]  Plamen A. Antonov,et al.  Too little, too late, and in the wrong place: Alpha band activity does not reflect an active mechanism of selective attention , 2020, NeuroImage.

[34]  Matthias M. Müller,et al.  Effects of spatial selective attention on the steady-state visual evoked potential in the 20-28 Hz range. , 1998, Brain research. Cognitive brain research.

[35]  D. Spinelli,et al.  Spatiotemporal analysis of the cortical sources of the steady‐state visual evoked potential , 2007, Human brain mapping.

[36]  Jamshed J. Bharucha,et al.  STEVENS’ HANDBOOK OF EXPERIMENTAL PSYCHOLOGY , 2002 .

[37]  H. Müller,et al.  Locus of dimension weighting: Preattentive or postselective? , 2006 .

[38]  H. Müller,et al.  Dimension-based visual attention modulates dual-judgment accuracy in Duncan's (1984) one- versus two-object report paradigm. , 2000, Journal of experimental psychology. Human perception and performance.

[39]  P. Viviani,et al.  Colour, form, and movement are not perceived simultaneously , 2001, Vision Research.

[40]  S. Zeki,et al.  A direct demonstration of perceptual asynchrony in vision , 1997, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[41]  J. Theeuwes.  Perceptual selectivity for color and form , 1992, Perception & psychophysics.

[42]  H. Müller,et al.  Visual search and selective attention , 2006 .

[43]  S. Hillyard,et al.  Event-related brain potentials in the study of visual selective attention. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[44]  Stefan Treue,et al.  Feature-based attention influences motion processing gain in macaque visual cortex , 1999, Nature.

[45]  Dan Biderman,et al.  Contingent Capture Is Weakened in Search for Multiple Features From Different Dimensions , 2017, Journal of experimental psychology. Human perception and performance.

[46]  H J Müller,et al.  Visual search for singleton feature targets within and across feature dimensions , 1995, Perception & psychophysics.