Numerosity adaptation resists filtering: Insights from an illusory contour paradigm
The mechanisms underlying numerosity perception remain debated, with some theories proposing a dedicated system for segmented items and others suggesting reliance on low-level features like spatial-frequency or texture-density. Numerosity adaptation-where exposure to one array alters the perceived numerosity of a subsequent one-has been interpreted as evidence for a numerosity-specific mechanism. However, recent accounts argue that this effect may result from filtering previously processed information. To clarify the underlying mechanisms, we employed a novel adaptation paradigm using Ehrenstein-based illusory-dots as adaptors and real dots as test stimuli. This design allowed us to dissociate numerosity adaptation from low-level features or filtering, as the number of illusory-dots is negatively correlated with spatial-frequency content and, crucially, adaptors and test stimuli contain completely different items. Contrary to predictions from filtering or texture-based accounts, we found a significant increase in the PSE after adaptation, indicating a genuine numerosity-driven effect. Crucially, the point of maximal RTs uncertainty shifted in the same direction, suggesting sensory rather than decisional effects. To corroborate these findings, in a second experiment, participants estimated the numerosity of grids containing either real or Ehrenstein-based illusory dots, presented in connected or unconnected configurations, keeping constant low-level cues between connectedness conditions. Connected items were consistently underestimated-regardless of stimulus type-confirming that Ehrenstein-based illusory dots are perceived as discrete units. Together, these results provide strong evidence that numerosity adaptation is not driven by low-level visual features or filtering mechanisms, but by the perceived number of discrete items, supporting the existence of a numerosity-selective system.
Authors
- Michaël Vande Velde (ORCID: https://orcid.org/0000-0001-8888-6675)
- Andrea Adriano (ORCID: https://orcid.org/0000-0003-3597-3382)
Institutions
- Université Libre de Bruxelles (BE)
- Sapienza University of Rome (IT)
Publication Details
- Journal
- Cognitive Psychology
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1016/j.cogpsych.2025.101757
- Citations
- 1
- Primary Topic
- Blind Source Separation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.49