ArticleScientific reports2021
The distributional properties of exemplars affect category learning and generalization.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 24 citations in OpenAlex.
- Short-term and long-term adaptive changes in prosodic comprehension.Journal of experimental psychology. Learning, memory, and cognition · 2026Article
- Multitask optimization and convergence stability with hierarchical feature learning for self guided optimization.Scientific reports · 2026Article
- Procedural and declarative knowledge simultaneously contribute to category response selection.Psychological research · 2025Article
- Generalisation to novel exemplars of learned shape categories based on visual and auditory spatial cues does not benefit from multisensory information.Psychonomic bulletin & review · 2025Article
- Prior experience of variability influences generalisation of unspecified categories.Quarterly journal of experimental psychology (2006) · 2024Article
- Moving beyond "nouns in the lab": Using naturalistic data to understand why infants' first words include uh-oh and hi.Developmental psychology · 2023Article
- Multisensory perception constrains the formation of object categories: a review of evidence from sensory-driven and predictive processes on categorical decisions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Sampling statistics are like story creation: a network analysis of parent-toddler exploratory play.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Discourse with Few Words: Coherence Statistics, Parent-Infant Actions on Objects, and Object Names.Language acquisition · 2023Article
- A neural network model of the effect of prior experience with regularities on subsequent category learning.Cognition · 2022Article
- Daylong Mobile Audio Recordings Reveal Multitimescale Dynamics in Infants' Vocal Productions and Auditory Experiences.Current directions in psychological science · 2022Article
- Everyday music in infancy.Developmental science · 2021Article
- Quantifying Everyday Ecologies: Principles for Manual Annotation of Many Hours of Infants' Lives.Frontiers in psychology · 2021Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
What we learn about the world is affected by the input we receive. Many extant category learning studies use uniform distributions as input in which each exemplar in a category is presented the same number of times. Another common assumption on input used in previous studies is that exemplars from the same category form a roughly normal distribution. However, recent corpus studies suggest that real-world category input tends to be organized around skewed distributions. We conducted three experiments to examine the distributional properties of the input on category learning and generalization. Across all studies, skewed input distributions resulted in broader generalization than normal input distributions. Uniform distributions also resulted in broader generalization than normal input distributions. Our results not only suggest that current category learning theories may underestimate category generalization but also challenge current theories to explain category learning in the real world with skewed, instead of the normal or uniform distributions often used in experimental studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.