ArticleCommunications psychology2024
Blocked training facilitates learning of multiple schemas.
Article in Communications psychology, 2024. 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.
- Spontaneous emergence of context-dependent statistical learning in humans and neural networks.iScience · 2026Article
- The curriculum effect in visual learning: The role of readout dimensionality.PLoS computational biology · 2026Article
- Sparsity and memory constraints interact with training sequence to bias learning of associative maps.Neuropsychologia · 2026Article
- Multistep inference across the human lifespan can be improved with individualized memory interventions.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026Article
- A neural mechanism for online discovery of latent contexts.bioRxiv : the preprint server for biology · 2026Article
- Curriculum effects in multitask learning through the lens of contextual inference.Current opinion in neurobiology · 2025Review
- Prefrontal Cortex Responses to Conflicting Information.Human brain mapping · 2025Article
- The effects of task similarity during representation learning in brains and neural networks.Nature communications · 2025Article
- The dynamic interplay between in-context and in-weight learning in humans and neural networks.ArXiv · 2025Article
- Parallel trade-offs in human cognition and neural networks: The dynamic interplay between in-context and in-weight learning.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Free recall is shaped by inference and scaffolded by event structure.Communications psychology · 2025Article
- Neural codes track prior events in a narrative and predict subsequent memory for details.Communications psychology · 2025Article
- Article
- The "Naturalistic Free Recall" dataset: four stories, hundreds of participants, and high-fidelity transcriptions.Scientific data · 2024Article
- Reconciling shared versus context-specific information in a neural network model of latent causes.Scientific reports · 2024Article
- Toward the Emergence of Intelligent Control: Episodic Generalization and Optimization.Open mind : discoveries in cognitive science · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
We all possess a mental library of schemas that specify how different types of events unfold. How are these schemas acquired? A key challenge is that learning a new schema can catastrophically interfere with old knowledge. One solution to this dilemma is to use interleaved training to learn a single representation that accommodates all schemas. However, another class of models posits that catastrophic interference can be avoided by splitting off new representations when large prediction errors occur. A key differentiating prediction is that, according to splitting models, catastrophic interference can be prevented even under blocked training curricula. We conducted a series of semi-naturalistic experiments and simulations with Bayesian and neural network models to compare the predictions made by the "splitting" versus "non-splitting" hypotheses of schema learning. We found better performance in blocked compared to interleaved curricula, and explain these results using a Bayesian model that incorporates representational splitting in response to large prediction errors. In a follow-up experiment, we validated the model prediction that inserting blocked training early in learning leads to better learning performance than inserting blocked training later in learning. Our results suggest that different learning environments (i.e., curricula) play an important role in shaping schema composition.
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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.