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      An Adaptable Metric Shapes Perceptual Space

      brief-report
      1 , , 2 , 3
      Current Biology
      Cell Press

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          Summary

          How do we derive a sense of the separation of points in the world within a space-variant visual system? Visual directions are thought to be coded directly by a process referred to as local sign, in which a neuron acts as a labeled line for the perceived direction associated with its activation [ 1, 2]. The separations of visual directions, however, are not given, nor are they directly related to the separations of signals on the receptive surface or in the brain, which are modified by retinal and cortical magnification, respectively [ 3]. To represent the separation of directions veridically, the corresponding neural signals need to be scaled in some way. We considered this scaling process may be influenced by adaptation. Here, we describe a novel adaptation paradigm, which can alter both apparent spatial separation and size. We measured the perceived separation of two dots and the size of geometric figures after adaptation to random dot patterns. We show that adapting to high-density texture not only increases the apparent sparseness (average element separation) of a lower-density pattern, as expected [ 4], but paradoxically, it reduces the apparent separation of dot pairs and induces apparent shrinkage of geometric form. This demonstrates for the first time a contrary linkage between perceived density and perceived extent. Separation and size appear to be expressed relative to a variable spatial metric whose properties, while not directly observable, are revealed by reductions in both apparent size and texture density.

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          Highlights

          • Adapting to high-density dot textures reduces the apparent separation of dot pairs

          • It also induces an apparent shrinkage of geometric form

          • Paradoxically, the same adaptor makes a dot texture appear sparser

          • The compression effect cannot be ascribed to a window-based size aftereffect

          Abstract

          Hisakata et al. present a novel visual aftereffect that reveals the operation of a scaling mechanism within spatial vision. They show adaptation to dense texture reduces the apparent separation of subsequently presented dots pairs. This effect demonstrates that the visual system has an adaptable metric that controls our perception of visual space.

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          Most cited references14

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          Human cortical magnification factor and its relation to visual acuity.

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            Texture density adaptation and visual number revisited.

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              • Record: found
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              Texture density adaptation and the perceived numerosity and distribution of texture.

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                Author and article information

                Contributors
                Journal
                Curr Biol
                Curr. Biol
                Current Biology
                Cell Press
                0960-9822
                1879-0445
                25 July 2016
                25 July 2016
                : 26
                : 14
                : 1911-1915
                Affiliations
                [1 ]Department of Psychology, School of Human Sciences, Senshu University, 5G8, 2-1-1, Higashimita, Tama-ku, Kawasaki-shi, Kanagawa 214-8580, Japan
                [2 ]NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, 3-1, Morinosato-Wakamiya, Atsugi-shi, Kanagawa 243-0198, Japan
                [3 ]School of Psychology, University Park, The University of Nottingham, Nottingham NG7 2RD, UK
                Author notes
                []Corresponding author rumi.hisakata@ 123456icloud.com
                Article
                S0960-9822(16)30544-9
                10.1016/j.cub.2016.05.047
                4963211
                27426520
                96a8d76e-6e1a-4567-b63e-a3b09c833eaf
                © 2016 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 31 January 2016
                : 15 April 2016
                : 18 May 2016
                Categories
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                Life sciences
                Life sciences

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