Literature DB >> 19275912

Narrow-band radial frequency shape channels revealed by sub-threshold summation.

Jason Bell1, David R Badcock.   

Abstract

Radial Frequency (RF) contours provide a unifying system to represent familiar shapes, such as triangles (RF3), squares (RF4) and pentagons (RF5), but it is not clear whether these sorts of shapes are detected by separate RF-tuned processes, or instead by a common shape mechanism. It has been suggested that multiple mechanisms are responsible for the detection of globally processed RF patterns, at least up to RF10. In this study, we used a sub-threshold summation paradigm to determine whether multiple shape channels are required to account for detection of RF patterns in this range. To do so, the modulation detection threshold required for discriminating an RF component in isolation from a circle, was compared to that obtained when a second, half-threshold amplitude, component was added to the single closed-contour. Threshold improvement occurred when the two shape components were the same RF, but usually not when the components differed in RF. These results cannot be explained by a single broadly-tuned shape channel and suggest that several narrow-band RF channels underpin detection of patterns below RF10, where the shapes have previously been shown to be processed globally.

Mesh:

Year:  2009        PMID: 19275912     DOI: 10.1016/j.visres.2009.03.001

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


  7 in total

1.  Visual search targeting either local or global perceptual processes differs as a function of autistic-like traits in the typically developing population.

Authors:  Renita A Almeida; J Edwin Dickinson; Murray T Maybery; Johanna C Badcock; David R Badcock
Journal:  J Autism Dev Disord       Date:  2013-06

2.  Global shape processing: which parts form the whole?

Authors:  Jason Bell; Sarah Hancock; Frederick A A Kingdom; Jonathan W Peirce
Journal:  J Vis       Date:  2010-06-01       Impact factor: 2.240

3.  (In) sensitivity to spatial distortion in natural scenes.

Authors:  Peter J Bex
Journal:  J Vis       Date:  2010-02-24       Impact factor: 2.240

4.  Forgetting in visual working memory: Internal noise explains decay of feature representations.

Authors:  Crista Kuuramo; Jussi Saarinen; Ilmari Kurki
Journal:  J Vis       Date:  2022-07-11       Impact factor: 2.004

5.  Near their thresholds for detection, shapes are discriminated by the angular separation of their corners.

Authors:  J Edwin Dickinson; Jason Bell; David R Badcock
Journal:  PLoS One       Date:  2013-05-31       Impact factor: 3.240

6.  Radial Frequency Analysis of Contour Shapes in the Visual Cortex.

Authors:  Viljami R Salmela; Linda Henriksson; Simo Vanni
Journal:  PLoS Comput Biol       Date:  2016-02-11       Impact factor: 4.475

7.  Poorer Search Efficiency in Healthy Young Adults With High Schizotypal Personality Traits.

Authors:  Kirsten R Panton; Johanna C Badcock; J Edwin Dickinson; David R Badcock
Journal:  Front Psychiatry       Date:  2018-07-12       Impact factor: 4.157

  7 in total

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