Literature DB >> 10996614

Conjunction and linear non-separability effects in visual shape encoding.

M Arguin1, D Saumier.   

Abstract

Four visual search experiments are reported which used simple 2D shapes varying on the global dimensions of aspect ratio/curvature or aspect ratio/tapering. Results indicate serial self-terminating search in all conditions. Most importantly, search rates are markedly modulated by the particular forms of structural relations existing between the targets and their distractors. Thus, single-feature targets with shape properties that are linearly separable from those of their distractors yield markedly faster search rates than linearly separable targets made of a conjunction of distractor features. In addition, linearly separable single-feature targets are searched at a much faster rate than single-feature targets which are not linearly separable. Follow-up experiments demonstrate that these conjunction and linear non-separability effects cannot be attributed to pairwise target-distractor discriminability differences across conditions. The main conclusions are that the shapes used are parsed according to elementary features in visual encoding, and that a linear discrimination mechanism is available which permits fast visual search rates if a single-feature target is linearly separable from its distractors.

Mesh:

Year:  2000        PMID: 10996614     DOI: 10.1016/s0042-6989(00)00155-3

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  5 in total

1.  Curvature processing dynamics in macaque area V4.

Authors:  Jeffrey M Yau; Anitha Pasupathy; Scott L Brincat; Charles E Connor
Journal:  Cereb Cortex       Date:  2012-01-31       Impact factor: 5.357

2.  Distinguishing conjoint and independent neural tuning for stimulus features with fMRI adaptation.

Authors:  Daniel M Drucker; Wesley Thomas Kerr; Geoffrey Karl Aguirre
Journal:  J Neurophysiol       Date:  2009-04-08       Impact factor: 2.714

3.  Shape representation modulating the effect of motion on visual search performance.

Authors:  Lindong Yang; Ruifeng Yu; Xuelian Lin; Na Liu
Journal:  Sci Rep       Date:  2017-11-02       Impact factor: 4.379

Review 4.  Symmetry-Based Representations for Artificial and Biological General Intelligence.

Authors:  Irina Higgins; Sébastien Racanière; Danilo Rezende
Journal:  Front Comput Neurosci       Date:  2022-04-14       Impact factor: 3.387

5.  Does linear separability really matter? Complex visual search is explained by simple search.

Authors:  T Vighneshvel; S P Arun
Journal:  J Vis       Date:  2013-09-12       Impact factor: 2.240

  5 in total

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