Abstract memory representations in the ventromedial prefrontal cortex and hippocampus support concept generalization

CR Bowman, D Zeithamova - Journal of Neuroscience, 2018 - Soc Neuroscience
Memory function involves both the ability to remember details of individual experiences and
the ability to link information across events to create new knowledge. Prior research has …

The sequence of study changes what information is attended to, encoded, and remembered during category learning.

PF Carvalho, RL Goldstone - Journal of Experimental Psychology …, 2017 - psycnet.apa.org
The sequence of study influences how we learn. Previous research has identified different
sequences as potentially beneficial for learning in different contexts and with different …

[HTML][HTML] Adaptive response-time-based category sequencing in perceptual learning

E Mettler, PJ Kellman - Vision research, 2014 - Elsevier
Although much recent work in perceptual learning (PL) has focused on basic sensory
discriminations, recent analyses suggest that PL in a variety of tasks depends on processes …

Perceptual estimation obeys Occam's razor

SJ Gershman, Y Niv - Frontiers in psychology, 2013 - frontiersin.org
Theoretical models of unsupervised category learning postulate that humans “invent”
categories to accommodate new patterns, but tend to group stimuli into a small number of …

Memory, perceptual, and motor costs affect the strength of categorical encoding during motor learning of object properties

E Cesanek, JR Flanagan, DM Wolpert - Scientific Reports, 2023 - nature.com
Nearly all tasks of daily life involve skilled object manipulation, and successful manipulation
requires knowledge of object dynamics. We recently developed a motor learning paradigm …

Not just stimuli structure: Sequencing effects in category learning vary by task demands.

VX Yan, BA Schuetze - Journal of Applied Research in Memory …, 2022 - psycnet.apa.org
Attention-and memory-based accounts of sequencing effects in category learning are often
pitted against one another, but we propose that both are important. We created an …

Can semi-supervised learning explain incorrect beliefs about categories?

CW Kalish, TT Rogers, J Lang, X Zhu - Cognition, 2011 - Elsevier
Three experiments with 88 college-aged participants explored how unlabeled experiences—
learning episodes in which people encounter objects without information about their …

A computational model of context‐dependent encodings during category learning

PF Carvalho, RL Goldstone - Cognitive Science, 2022 - Wiley Online Library
Although current exemplar models of category learning are flexible and can capture how
different features are emphasized for different categories, they still lack the flexibility to adapt …

Ready to learn: Incidental exposure fosters category learning

L Unger, VM Sloutsky - Psychological Science, 2022 - journals.sagepub.com
Our knowledge of the world is populated with categories such as dogs, cups, and chairs.
Such categories shape how we perceive, remember, and reason about their members …

Linear separability, irrelevant variability, and categorization difficulty.

LA Rosedahl, FG Ashby - Journal of Experimental Psychology …, 2022 - psycnet.apa.org
In rule-based (RB) category-learning tasks, the optimal strategy is a simple explicit rule,
whereas in information-integration (II) tasks, the optimal strategy is impossible to describe …