The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Flexible shaping: How learning in small steps helps
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Citations
Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318
DEFICITS IN STRATEGY APPLICATION FOLLOWING FRONTAL LOBE DAMAGE IN MAN
SHALLICE, T., & BURGESS, P. W. (1991) · Brain · doi:10.1093/brain/114.2.727 · Cited by 2,017
Learning and development in neural networks: the importance of starting small
Elman, J. L. (1993) · Cognition · doi:10.1016/0010-0277(93)90058-4 · Cited by 1,988 · cited 2×
“First, Elman (1993) realized a concept described by Newport (1988, 1990) in terms of ‘‘Less is More”, in the context of the learning of grammars in simple recurrent networks. The idea was to use an initial phase of training with only simpler incarnations of the rules of the grammar. Although the issue is not uncontrov…”
Uncertainty, Neuromodulation, and Attention
Yu, A. J., & Dayan, P. (2005) · Neuron · doi:10.1016/j.neuron.2005.04.026 · Cited by 1,774 · cited 5×
“An obvious candidate for this is unexpected uncertainty ( Yu & Dayan, 2005; Dayan & Yu, 2006), i.e., the unexpected drop in the performance of the network that happens when each new sub-task is introduced.”
InfluentialSelf-citationMaturational constraints on language learning
Newport, E. L. (1990) · Cognitive Science · doi:10.1207/s15516709cog1401_2 · Cited by 1,738
An information theoretical approach to prefrontal executive function
Koechlin, E., & Summerfield, C. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.04.005 · Cited by 1,183
Prefrontal cortex and basal ganglia control access to working memory
McNab, F., & Klingberg, T. (2008) · Nature Neuroscience · doi:10.1038/nn2024 · Cited by 989
Badre, D., Poldrack, R. A., Paré-Blagoev, E. J., Insler, R. Z., & Wagner, A. D. (2005) · Neuron · doi:10.1016/j.neuron.2005.07.023 · Cited by 914
Interactions between frontal cortex and basal ganglia in working memory: A computational model
FRANK, M. J., LOUGHRY, B., & O'REILLY, R. C. (2001) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.1.2.137 · Cited by 879
Butter, C. M. (1969) · Physiology & Behavior · doi:10.1016/0031-9384(69)90075-4 · Cited by 395
Cited by
Bengio, Y., Louradour, J., Collobert, R., & Weston, J. (2009) · Proceedings of the 26th Annual International Conference on Machine Learning · doi:10.1145/1553374.1553380 · Cited by 5,366
Learning Deep Architectures for AI
Bengio, Y. (2009) · now publishers, Inc. eBooks · doi:10.1561/9781601982957 · Cited by 4,941
Continual lifelong learning with neural networks: A review
Parisi, G. I., Kemker, R., Part, J. L., Kanan, C., & Wermter, S. (2019) · Neural Networks · doi:10.1016/j.neunet.2019.01.012 · Cited by 3,117
Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9830-8 · Cited by 2,171
Practical Recommendations for Gradient-Based Training of Deep Architectures
Bengio, Y. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-35289-8_26 · Cited by 2,259
Metadata
- Authors
- Krueger, K. A., & Dayan, P.
- Venue
- Cognition
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 110
- Issue
- 3
- Pages
- 380-394
- ISSN
- 0010-0277 (ISSN-L)
- OpenAlex
- W2007347635
- Cited by
- 221
- References
- 13
- FWCI
- 3.50
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Flexible shaping: How learning in small steps helps. https://app.cochat.ai/papers/10.1016/j.cognition.2008.11.014
- The paper
- Krueger, K. A., & Dayan, P. (2009). Flexible shaping: How learning in small steps helps. Cognition. https://doi.org/10.1016/j.cognition.2008.11.014
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
