Literature DB >> 28947573

Attention to Color Sharpens Neural Population Tuning via Feedback Processing in the Human Visual Cortex Hierarchy.

Mandy V Bartsch1, Kristian Loewe2, Christian Merkel2, Hans-Jochen Heinze1,2, Mircea A Schoenfeld1,2,3, John K Tsotsos4, Jens-Max Hopf5,2.   

Abstract

Attention can facilitate the selection of elementary object features such as color, orientation, or motion. This is referred to as feature-based attention and it is commonly attributed to a modulation of the gain and tuning of feature-selective units in visual cortex. Although gain mechanisms are well characterized, little is known about the cortical processes underlying the sharpening of feature selectivity. Here, we show with high-resolution magnetoencephalography in human observers (men and women) that sharpened selectivity for a particular color arises from feedback processing in the human visual cortex hierarchy. To assess color selectivity, we analyze the response to a color probe that varies in color distance from an attended color target. We find that attention causes an initial gain enhancement in anterior ventral extrastriate cortex that is coarsely selective for the target color and transitions within ∼100 ms into a sharper tuned profile in more posterior ventral occipital cortex. We conclude that attention sharpens selectivity over time by attenuating the response at lower levels of the cortical hierarchy to color values neighboring the target in color space. These observations support computational models proposing that attention tunes feature selectivity in visual cortex through backward-propagating attenuation of units less tuned to the target.SIGNIFICANCE STATEMENT Whether searching for your car, a particular item of clothing, or just obeying traffic lights, in everyday life, we must select items based on color. But how does attention allow us to select a specific color? Here, we use high spatiotemporal resolution neuromagnetic recordings to examine how color selectivity emerges in the human brain. We find that color selectivity evolves as a coarse to fine process from higher to lower levels within the visual cortex hierarchy. Our observations support computational models proposing that feature selectivity increases over time by attenuating the responses of less-selective cells in lower-level brain areas. These data emphasize that color perception involves multiple areas across a hierarchy of regions, interacting with each other in a complex, recursive manner.
Copyright © 2017 the authors 0270-6474/17/3710346-12$15.00/0.

Entities:  

Keywords:  MEG; color; extrastriate cortex; feature-based attention; selective tuning

Mesh:

Year:  2017        PMID: 28947573      PMCID: PMC6596623          DOI: 10.1523/JNEUROSCI.0666-17.2017

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  12 in total

1.  The extent of center-surround inhibition for colored items in working memory.

Authors:  Rui Shi; Heming Gao; Qi Zhang
Journal:  Mem Cognit       Date:  2020-11-16

Review 2.  Neural Circuits That Mediate Selective Attention: A Comparative Perspective.

Authors:  Eric I Knudsen
Journal:  Trends Neurosci       Date:  2018-07-31       Impact factor: 13.837

3.  Competing rhythmic neural representations of orientations during concurrent attention to multiple orientation features.

Authors:  Ce Mo; Junshi Lu; Bichan Wu; Jianrong Jia; Huan Luo; Fang Fang
Journal:  Nat Commun       Date:  2019-11-20       Impact factor: 14.919

4.  Spatial and Feature-selective Attention Have Distinct, Interacting Effects on Population-level Tuning.

Authors:  Erin Goddard; Thomas A Carlson; Alexandra Woolgar
Journal:  J Cogn Neurosci       Date:  2022-01-05       Impact factor: 3.420

5.  Functional connectivity density alterations in middle-age retinal detachment patients.

Authors:  Yi Shao; Lin Yang; Pei-Wen Zhu; Ting Su; Xue-Zhi Zhou; Biao Li; Wen-Qing Shi; Qi Lin; You-Lan Min; Qing Yuan; Lei Ye; Qiong Zhou
Journal:  Brain Behav       Date:  2021-03-01       Impact factor: 2.708

6.  Attention expedites target selection by prioritizing the neural processing of distractor features.

Authors:  Mandy V Bartsch; Christian Merkel; Mircea A Schoenfeld; Jens-Max Hopf
Journal:  Commun Biol       Date:  2021-06-29

7.  Short and Long-Term Attentional Firing Rates Can Be Explained by ST-Neuron Dynamics.

Authors:  Oscar J Avella Gonzalez; John K Tsotsos
Journal:  Front Neurosci       Date:  2018-03-02       Impact factor: 4.677

8.  The Attentional Suppressive Surround: Eccentricity, Location-Based and Feature-Based Effects and Interactions.

Authors:  Sang-Ah Yoo; John K Tsotsos; Mazyar Fallah
Journal:  Front Neurosci       Date:  2018-10-08       Impact factor: 4.677

9.  Enhanced spatial focusing increases feature-based selection in unattended locations.

Authors:  Mandy V Bartsch; Sarah E Donohue; Hendrik Strumpf; Mircea A Schoenfeld; Jens-Max Hopf
Journal:  Sci Rep       Date:  2018-10-31       Impact factor: 4.379

10.  Parallel fast and slow recurrent cortical processing mediates target and distractor selection in visual search.

Authors:  Sarah E Donohue; Mircea A Schoenfeld; Jens-Max Hopf
Journal:  Commun Biol       Date:  2020-11-19
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