Numerosity adaptation along the Y-Axis affects numerosity perception along the X-Axis: does numerosity adaptation activate MNLs?

Liu, Wei; Zhang, Zhijun; Li, Bing-Chen; Zhao, Yajun; Tang, Yi

doi:10.3758/s13414-015-0863-z

Cited by 7 publications

(5 citation statements)

References 42 publications

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“…Our results also suggest that the visual system uses a distinct mechanism to compute numerosity, consistent with previous studies (Anobile, Cicchini, & Burr, 2014;Burr & Ross, 2008a;Liu, Zhang, Li, Zhao, & Tang, 2015;Liu, Zhang, Zhao, Liu, & Li, 2013;Ross & Burr, 2010). If the visual system computes and represents both mean size and numerosity, it does not necessarily have to represent summed area separately.…”

Section: Discussionsupporting

confidence: 91%

Perceived magnitude of visual displays: Area, numerosity, and mean size

2016

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Previous studies have shown that the visual system is able to estimate properties such as area, numerosity, and mean size efficiently and accurately. In the current study, we investigated whether our percepts of each of them could be based on ratios of the other two of these three properties. In each trial, observers viewed a display containing various quantities of filled circles and judged whether the magnitude of a property of the display, such as summed area, numerosity, or average size of the circles, was greater or less than a corresponding probe display. We found that mean size judgments were more accurate and precise compared to the other judgments. We then predicted observers' performances for each task using the measured performance for the other judgments. The results showed that the other properties predicted perceived summed area, but not perceived mean size and numerosity. Together, our results suggest that the visual system does not use ratios to compute mean size and numerosity.

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Section: Discussionsupporting

confidence: 91%

Perceived magnitude of visual displays: Area, numerosity, and mean size

2016

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“…Regardless, there will not necessarily be any contradiction in showing that various statistics of the image affect the approximation of numerosity. It is the distinguishable processing pertaining exclusively to numerosity coding, such as abstraction, individuation, unit representation, and spatially associated representation ( Fischer, 2003 ; Liu et al, 2015 ), that determines the independent mechanism of numerosity cognition.…”

Section: Discussionmentioning

confidence: 99%

Regular Distribution Inhibits Generic Numerosity Processing

et al. 2018

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This study investigated the role of pattern regularity in approximate numerical processing. Experiment 1 demonstrated that the change in stimulus size has a distinct effect on the adaptation aftereffect for random and regular patterns. For regular patterns, adapting to large patterns and being tested with small patterns caused stronger aftereffects than the reverse treatment, in which the participants adapted to small patterns and were tested with large patterns. For random patterns, this effect was absent. Experiment 2 revealed a distinct connectedness effect on the numerosity processing of random and regular patterns. For random patterns, reference stimuli were perceived to contain fewer items when the dots were connected by lines than when they were not connected, and the number of items in the connected reference was further underestimated when the participants adapted to unconnected patterns with the same number of dots. For regular patterns, this effect was absent. Distinct mechanisms were thus suggested for the numerosity coding of random and regular patterns. For random patterns, the change in primary texture features would be abstracted from numerosity processing, while connectedness could affect this coding by affecting the processing of numerical unit individuation. For regular patterns, generic numerosity processing is inhibited, and numerical judgments appear to be inferred from the visual processing results of texture features such as dot size or the distance between adjacent dots.

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“…This effect is thought to derive from an introspective association of numbers with spatial locations and the so-called mental number line, where low numbers are associated with the left side and high numbers with the right side (Dehaene et al, 1993). While the effect is well documented in examination of symbolic numerosities (e.g., Arabic numerals), recent evidence shows that the perception of nonsymbolic numerosities (e.g., arrays of dots) can also be affected by spatial manipulations (Fornaciai, Togoli, & Arrighi, 2018;Liu, Zhang, Li, Zhao, & Tang, 2015;Nemeh, Humberstone, Yates, & Reeve, 2018;Schwiedrzik, Bernstein, & Melloni, 2016). Hence, the underestimation of numerosities presented on the left side that we found in our first experiment could be an outcome of the aforementioned mental number line, with participants perceiving numerosities presented on the left as generally lower.…”

Section: Further Considerationsmentioning

confidence: 99%

Distinct temporal mechanisms modulate numerosity perception

et al. 2019

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Our ability to process numerical and temporal information is an evolutionary skill thought to originate from a common magnitude system. In line with a common magnitude system, we have previously shown that adaptation to duration alters numerosity perception. Here, we investigate two hypotheses on how duration influences numerosity perception. A channelbased hypothesis predicts that numerosity perception is influenced by adaptation of onset/offset duration channels which also encode numerosity or wire together with numerosity channels (duration/numerosity channels). Hence, the onset/offset duration of the adapter is driving the effect regardless of the total duration of adaptation. A strength-of-adaptation hypothesis predicts that the effect of duration on numerosity perception is driven by the adaptation of numerosity channels only, with the total duration of adaptation driving the effect regardless of the onset/ offset duration of the adapter. We performed two experiments where we manipulated the onset/offset duration of the adapter, the adapter's total presentation time, and the total duration of the adaptation trial. The first experiment tested the effect of adaptation to duration on numerosity discrimination, whereas the second experiment tested the effect of adaptation to numerosity and duration on numerosity discrimination. We found that the effect of adaptation to duration on numerosity perception is primarily driven by adapting duration/numerosity channels, supporting the channel-based hypothesis. In contrast, the effect of adaptation to numerosity on numerosity perception appears to be driven by the total duration of the adaptation trial, supporting the strength-of-adaptation hypothesis. Thus, we show that adaptation of at least two temporal mechanisms influences numerosity perception.

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Numerosity adaptation along the Y-Axis affects numerosity perception along the X-Axis: does numerosity adaptation activate MNLs?

Cited by 7 publications

References 42 publications

Perceived magnitude of visual displays: Area, numerosity, and mean size

Perceived magnitude of visual displays: Area, numerosity, and mean size

Regular Distribution Inhibits Generic Numerosity Processing

Distinct temporal mechanisms modulate numerosity perception

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