ArticleLearning & memory (Cold Spring Harbor, N.Y.)2019
Selective attention in rat visual category learning.
Article in Learning & memory (Cold Spring Harbor, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 39 citations in OpenAlex.
- Adaptive stretching of representations across brain regions and deep learning model layers.Nature communications · 2025Article
- Dissociable Roles of the Dorsolateral and Ventromedial Prefrontal Cortex in Human Categorization.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
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- Learning to Choose: Behavioral Dynamics Underlying the Initial Acquisition of Decision-Making.eNeuro · 2024Article
- Double dissociation between P300 components and task switch error type in healthy but not psychosis participants.Schizophrenia research · 2023Article
- A novel approach to the assessment of higher-order rule learning in male mice.Learning & memory (Cold Spring Harbor, N.Y.) · 2023Article
- The Lords of the Rings: People and pigeons take different paths mastering the concentric-rings categorization task.Cognition · 2022Article
- Prelimbic cortex maintains attention to category-relevant information and flexibly updates category representations.Neurobiology of learning and memory · 2021Article
- Mouse visual cortex areas represent perceptual and semantic features of learned visual categories.Nature neuroscience · 2021Article
- Article
- A Dissociative Framework for Understanding Same-Different Conceptualization.Current opinion in behavioral sciences · 2021Article
- Exploring Explicit Learning Strategies: A Dissociative Framework for Research.New ideas in psychology · 2021Article
- Pigeons exhibit flexibility but not rule formation in dimensional learning, stimulus generalization, and task switching.Journal of experimental psychology. Animal learning and cognition · 2020Article
- Arthropod Intelligence? The Case forFrontiers in psychology · 2020Review
- Memory Traces Diminished by Exercise Affect New Learning as Proactive Facilitation.Frontiers in neuroscience · 2020Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
A prominent theory of category learning, COVIS, posits that new categories are learned with either a declarative or procedural system, depending on the task. The declarative system uses the prefrontal cortex (PFC) to learn rule-based (RB) category tasks in which there is one relevant sensory dimension that can be used to establish a rule for solving the task, whereas the procedural system uses corticostriatal circuits for information integration (II) tasks in which there are multiple relevant dimensions, precluding use of explicit rules. Previous studies have found faster learning of RB versus II tasks in humans and monkeys but not in pigeons. The absence of a learning rate difference in pigeons has been attributed to their lacking a PFC. A major gap in this comparative analysis, however, is the lack of data from a nonprimate mammalian species, such as rats, that have a PFC but a less differentiated PFC than primates. Here, we investigated RB and II category learning in rats. Similar to pigeons, RB and II tasks were learned at the same rate. After reaching a learning criterion, wider distributions of stimuli were presented to examine generalization. A second experiment found equivalent RB and II learning with wider category distributions. Computational modeling revealed that rats extract and selectively attend to category-relevant information but do not consistently use rules to solve the RB task. These findings suggest rats are on a continuum of PFC function between birds and primates, with selective attention but limited ability to utilize rules relative to primates.
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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.