Ensemble summary statistics as a basis for rapid visual categorization

Journal of Vision
Igor S Utochkin

Abstract

Ensemble summary statistics represent multiple objects on the high level of abstraction-that is, without representing individual features and ignoring spatial organization. This makes them especially useful for the rapid visual categorization of multiple objects of different types that are intermixed in space. Rapid categorization implies our ability to judge at one brief glance whether all visible objects represent different types or just variants of one type. A framework presented here states that processes resembling statistical tests can underlie that categorization. At an early stage (primary categorization), when independent ensemble properties are distributed along a single sensory dimension, the shape of that distribution is tested in order to establish whether all features can be represented by a single or multiple peaks. When primary categories are separated, the visual system either reiterates the shape test to recognize subcategories (in-depth processing) or implements mean comparison tests to match several primary categories along a new dimension. Rapid categorization is not free from processing limitations; the role of selective attention in categorization is discussed in light of these limitations.

Citations

Oct 28, 2016·Psychonomic Bulletin & Review·Ronald A Rensink
Dec 20, 2017·Psychological Science·Oakyoon Cha, Sang Chul Chong
Sep 30, 2018·Journal of Vision·Noam Khayat, Shaul Hochstein
Aug 29, 2020·Journal of Vision·Igor S UtochkinJeremy M Wolfe
Feb 26, 2019·Frontiers in Psychology·Shenli PengPing Hu
Feb 23, 2020·Attention, Perception & Psychophysics·Aire RaidveeJüri Allik
Jun 28, 2019·Attention, Perception & Psychophysics·Noam Khayat, Shaul Hochstein
May 16, 2020·Attention, Perception & Psychophysics·Hee Yeon ImIgor S Utochkin
Oct 8, 2020·Attention, Perception & Psychophysics·Siddhart RajendranMichael A Webster
Jan 10, 2021·Attention, Perception & Psychophysics·Noam KhayatShaul Hochstein
Jan 13, 2021·Scientific Reports·Vladislav A KhvostovIgor S Utochkin
Mar 22, 2021·Vision Research·Jinhyeok Jeong, Sang Chul Chong

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