Trial reportBrain and cognition2013
Feedback and stimulus-offset timing effects in perceptual category learning.
Trial report in Brain and cognition, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Is there a criterion in criterial learning? Insights from studying feedback delays.Journal of experimental psychology. Learning, memory, and cognition · 2026Article
- The effect of feedback timing on category learning and feedback processing in younger and older adults.Frontiers in aging neuroscience · 2024Article
- An adaptive linear filter model of procedural category learning.Cognitive processing · 2022Article
- Acoustilytix™: A Web-Based Automated Ultrasonic Vocalization Scoring Platform.Brain sciences · 2021Article
- Differing effects of gain and loss feedback on rule-based and information-integration category learning.Psychonomic bulletin & review · 2021Article
- The ubiquity of selective attention in the processing of feedback during category learning.PloS one · 2021Article
- Task and distribution sampling affect auditory category learning.Attention, perception & psychophysics · 2018Article
- A neural interpretation of exemplar theory.Psychological review · 2017Article
- Differential Impact of Visuospatial Working Memory on Rule-based and Information-integration Category Learning.Frontiers in psychology · 2017Article
- Performance Pressure Enhances Speech Learning.Applied psycholinguistics · 2016Article
- Dopamine dependence in aggregate feedback learning: A computational cognitive neuroscience approach.Brain and cognition · 2016Article
- A Comparison of the neural correlates that underlie rule-based and information-integration category learning.Human brain mapping · 2016Article
- Dopaminergic Genetic Polymorphisms Predict Rule-based Category Learning.Journal of cognitive neuroscience · 2016Article
- Multiple stages of learning in perceptual categorization: evidence and neurocomputational theory.Psychonomic bulletin & review · 2015Review
- Differential effects of dopamine-directed treatments on cognition.Neuropsychiatric disease and treatment · 2015Review
- The effect of newly trained verbal and nonverbal labels for the cues in probabilistic category learning.Memory & cognition · 2014Article
- A computational model of the temporal dynamics of plasticity in procedural learning: sensitivity to feedback timing.Frontiers in psychology · 2014Article
- Procedural-based category learning in patients with Parkinson's disease: impact of category number and category continuity.Frontiers in systems neuroscience · 2014Article
- A role for the medial temporal lobe in feedback-driven learning: evidence from amnesia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
We examined how feedback delay and stimulus offset timing affected declarative, rule-based and procedural, information-integration category-learning. We predicted that small feedback delays of several hundred milliseconds would lead to the best information-integration learning based on a highly regarded neurobiological model of learning in the striatum. In Experiment 1 information-integration learning was best with feedback delays of 500ms compared to delays of 0 and 1000ms. This effect was only obtained if the stimulus offset following the response. Rule-based learning was unaffected by the length of feedback delay, but was better when the stimulus was present throughout feedback than when it offset following the response. In Experiment 2 we found that a large variance (SD=150ms) in feedback delay times around a mean delay of 500ms attenuated information-integration learning, but a small variance (SD=75ms) did not. In Experiment 3 we found that the delay between stimulus offset and feedback is more critical to information-integration learning than the delay between the response and feedback. These results demonstrate the importance of feedback timing in category-learning situations where a declarative, verbalizable rule cannot easily be used as a heuristic to classify members into their correct category.
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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.