Literature DB >> 25865144

Spatial attention enhances object coding in local and distributed representations of the lateral occipital complex.

Matthias Guggenmos1, Volker Thoma2, John-Dylan Haynes3, Alan Richardson-Klavehn4, Radoslaw Martin Cichy5, Philipp Sterzer6.   

Abstract

The modulation of neural activity in visual cortex is thought to be a key mechanism of visual attention. The investigation of attentional modulation in high-level visual areas, however, is hampered by the lack of clear tuning or contrast response functions. In the present functional magnetic resonance imaging study we therefore systematically assessed how small voxel-wise biases in object preference across hundreds of voxels in the lateral occipital complex were affected when attention was directed to objects. We found that the strength of attentional modulation depended on a voxel's object preference in the absence of attention, a pattern indicative of an amplificatory mechanism. Our results show that such attentional modulation effectively increased the mutual information between voxel responses and object identity. Further, these local modulatory effects led to improved information-based object readout at the level of multi-voxel activation patterns and to an increased reproducibility of these patterns across repeated presentations. We conclude that attentional modulation enhances object coding in local and distributed object representations of the lateral occipital complex.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Attention; Lateral occipital complex; Multivariate pattern analysis; Mutual information; Objects; fMRI

Mesh:

Year:  2015        PMID: 25865144     DOI: 10.1016/j.neuroimage.2015.04.004

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  5 in total

1.  Sensory processing and categorization in cortical and deep neural networks.

Authors:  Dimitris A Pinotsis; Markus Siegel; Earl K Miller
Journal:  Neuroimage       Date:  2019-08-21       Impact factor: 6.556

2.  Value signals guide abstraction during learning.

Authors:  Aurelio Cortese; Asuka Yamamoto; Maryam Hashemzadeh; Pradyumna Sepulveda; Mitsuo Kawato; Benedetto De Martino
Journal:  Elife       Date:  2021-07-13       Impact factor: 8.140

3.  A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula.

Authors:  Robin A A Ince; Bruno L Giordano; Christoph Kayser; Guillaume A Rousselet; Joachim Gross; Philippe G Schyns
Journal:  Hum Brain Mapp       Date:  2016-11-17       Impact factor: 5.038

4.  Attention selectively enhances stimulus information for surround over foveal stimulus representations in occipital cortex.

Authors:  Erin Goddard; Kathy T Mullen
Journal:  J Vis       Date:  2021-03-01       Impact factor: 2.240

5.  Smooth versus Textured Surfaces: Feature-Based Category Selectivity in Human Visual Cortex.

Authors:  Cesar Echavarria; Shahin Nasr; Roger Tootell
Journal:  eNeuro       Date:  2016-09-26
  5 in total

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