TY - JOUR
T1 - Big and small numbers
T2 - Empirical support for a single, flexible mechanism for numerosity perception
AU - Sengupta, Rakesh
AU - Bapiraju, S.
AU - Melcher, David
N1 - Funding Information:
This work was supported by a European Research Council Starting Grant (StG-20111124) to D.M. and by the India-Trento Programme for Advanced Research.
Publisher Copyright:
© 2016, The Psychonomic Society, Inc.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The existence of perceptually distinct numerosity ranges has been proposed for small (i.e., subitizing range) and larger numbers based on differences in precision, Weber fractions, and reaction times. This raises the question of whether such dissociations reflect distinct mechanisms operating across the two numerosity ranges. In the present work, we explore the predictions of a single-layer recurrent on-center, off-surround network model of attentional priority that has been applied to object individuation and enumeration. Activity from the network can be used to model various phenomena in the domain of visual number perception based on a single parameter: the strength of inhibition between nodes. Specifically, higher inhibition allows for precise representation of small numerosities, while low inhibition is preferred for high numerosities. The model makes novel predictions, including that enumeration of small numerosities following large numerosities should result in longer reaction times than when a small numerosity trial following small numerosities. Moreover, the model predicts underestimation of number when a display containing a large number of items follows a trial with small numerosities. We behaviorally confirmed these predictions in a series of experiments. This pattern of results is consistent with a single, flexible object individuation system, which can be modeled successfully by dynamic on-center, off-surround network model of the attentional priority (saliency) map.
AB - The existence of perceptually distinct numerosity ranges has been proposed for small (i.e., subitizing range) and larger numbers based on differences in precision, Weber fractions, and reaction times. This raises the question of whether such dissociations reflect distinct mechanisms operating across the two numerosity ranges. In the present work, we explore the predictions of a single-layer recurrent on-center, off-surround network model of attentional priority that has been applied to object individuation and enumeration. Activity from the network can be used to model various phenomena in the domain of visual number perception based on a single parameter: the strength of inhibition between nodes. Specifically, higher inhibition allows for precise representation of small numerosities, while low inhibition is preferred for high numerosities. The model makes novel predictions, including that enumeration of small numerosities following large numerosities should result in longer reaction times than when a small numerosity trial following small numerosities. Moreover, the model predicts underestimation of number when a display containing a large number of items follows a trial with small numerosities. We behaviorally confirmed these predictions in a series of experiments. This pattern of results is consistent with a single, flexible object individuation system, which can be modeled successfully by dynamic on-center, off-surround network model of the attentional priority (saliency) map.
KW - Reaction time methods
KW - Spatial vision
KW - Theoretical and computational models
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U2 - 10.3758/s13414-016-1221-5
DO - 10.3758/s13414-016-1221-5
M3 - Article
C2 - 27797007
AN - SCOPUS:84992688654
SN - 1943-3921
VL - 79
SP - 253
EP - 266
JO - Attention, Perception, and Psychophysics
JF - Attention, Perception, and Psychophysics
IS - 1
ER -