The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Implicit learning and statistical learning: one phenomenon, two approaches
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Statistical learning by 8-month-old infants
Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996) · Science · doi:10.1126/science.274.5294.1926 · Cited by 5,659
The Atomic Components of Thought
Anderson, J. R., & Lebiere, C. J. (2014) · Psychology Press eBooks · doi:10.4324/9781315805696 · Cited by 2,173
Implicit learning of artificial grammars
Reber, A. S. (1967) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(67)80149-x · Cited by 2,026
The Atomic Components of Thought
Taatgen, N. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(98)01250-9 · Cited by 1,476
Implicit learning and tacit knowledge: an essay on the cognitive unconscious
(1994) · Choice Reviews Online · doi:10.5860/choice.31-3490 · Cited by 1,429
Statistical learning of tone sequences by human infants and adults
Saffran, J. R., Johnson, E. K., Aslin, R. N., & Newport, E. L. (1999) · Cognition · doi:10.1016/s0010-0277(98)00075-4 · Cited by 1,429
Rule Learning by Seven-Month-Old Infants
Marcus, G. F., Vijayan, S., Bandi Rao, S., & Vishton, P. M. (1999) · Science · doi:10.1126/science.283.5398.77 · Cited by 1,244
Computation of conditional probability statistics by 8-month-old infants
Aslin, R. N., Saffran, J. R., & Newport, E. L. (1998) · Psychological Science · doi:10.1111/1467-9280.00063 · Cited by 1,189
Visual statistical learning in infancy: evidence for a domain general learning mechanism
Kirkham, N. Z., Slemmer, J. A., & Johnson, S. P. (2002) · Cognition · doi:10.1016/s0010-0277(02)00004-5 · Cited by 1,072
Variability and Detection of Invariant Structure
Gómez, R. L. (2002) · Psychological Science · doi:10.1111/1467-9280.00476 · Cited by 840
Cited by
Darwin's mistake: Explaining the discontinuity between human and nonhuman minds
Penn, D. C., Holyoak, K. J., & Povinelli, D. J. (2008) · Behavioral and Brain Sciences · doi:10.1017/s0140525x08003543 · Cited by 1,174
Turk-Browne, N. B., Scholl, B. J., Chun, M. M., & Johnson, M. K. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21131 · Cited by 523
Towards a universal model of reading
Frost, R. (2012) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11001841 · Cited by 484
Interpersonal synchrony: a survey of evaluation methods across disciplines.
Delaherche, E., Chetouani, M., Mahdhaoui, A., Saint-Georges, C., Viaux, S., & Cohen, D. (2012) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2012.12 · Cited by 474
Saffran, J. R., & Kirkham, N. Z. (2018) · Annual Review of Psychology · doi:10.1146/annurev-psych-122216-011805 · Cited by 426
Günther, F., Rinaldi, L., & Marelli, M. (2019) · Perspectives on Psychological Science · doi:10.1177/1745691619861372 · Cited by 341
Implicit statistical learning in language processing: Word predictability is the key☆
Conway, C. M., Bauernschmidt, A., Huang, S. S., & Pisoni, D. B. (2010) · Cognition · doi:10.1016/j.cognition.2009.10.009 · Cited by 340
Statistical learning of visual transitions in monkey inferotemporal cortex
Meyer, T., & Olson, C. R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112895108 · Cited by 325
Statistical learning as an individual ability: Theoretical perspectives and empirical evidence
Siegelman, N., & Frost, R. (2015) · Journal of Memory and Language · doi:10.1016/j.jml.2015.02.001 · Cited by 317
Implicit statistical learning is directly associated with the acquisition of syntax
Kidd, E. (2012) · Developmental Psychology · doi:10.1037/a0025405 · Cited by 310
Neglect as a violation of species-expectant experience: neurodevelopmental consequences
McLaughlin, K. A., Sheridan, M. A., & Nelson, C. A. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.02.1096 · Cited by 295
Reber, P. J. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.06.019 · Cited by 296
Conway, C. M. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.01.032 · Cited by 282
Statistical Learning Is Related to Reading Ability in Children and Adults
Arciuli, J., & Simpson, I. C. (2012) · Cognitive Science · doi:10.1111/j.1551-6709.2011.01200.x · Cited by 275
Attention Is Spontaneously Biased Toward Regularities
Zhao, J., Al-Aidroos, N., & Turk-Browne, N. B. (2013) · Psychological Science · doi:10.1177/0956797612460407 · Cited by 266
“The mind extracts regularities via statistical learning (Fiser & Aslin, 2001; Perruchet & Pacton, 2006; Saffran, Aslin, & Newport, 1996; Turk-Browne, Scholl, Chun, & Johnson, 2009) and can use them to perceive and interact with the environment more efficiently.”
BackgroundTesting assumptions of statistical learning: Is it long-term and implicit?
Kim, R., Seitz, A., Feenstra, H., & Shams, L. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.06.030 · Cited by 263
Bayesian learning of visual chunks by human observers
Orbán, G., Fiser, J., Aslin, R. N., & Lengyel, M. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0708424105 · Cited by 257
The extraction and integration framework: A two-process account of statistical learning
Thiessen, E. D., Kronstein, A. T., & Hufnagle, D. G. (2013) · Psychological Bulletin · doi:10.1037/a0030801 · Cited by 202
Sleep-dependent consolidation of statistical learning.
Durrant, S. J., Taylor, C., Cairney, S., & Lewis, P. A. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.02.015 · Cited by 197
Learning what to expect (in visual perception)
Seriès, P., & Seitz, A. R. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00668 · Cited by 194
Mechanisms for widespread hippocampal involvement in cognition.
Shohamy, D., & Turk-Browne, N. B. (2013) · Journal of Experimental Psychology: General · doi:10.1037/a0034461 · Cited by 187
Rethinking expertise: a multifactorial gene–environment interaction model of expert performance.
Ullén, F., Hambrick, D. Z., & Mosing, M. A. (2016) · Psychological Bulletin · doi:10.1037/bul0000033 · Cited by 182
Implicit Statistical Learning: A Tale of Two Literatures
Christiansen, M. H. (2019) · Topics in Cognitive Science · doi:10.1111/tops.12332 · Cited by 167
Durrant, S. J., Cairney, S. A., & Lewis, P. A. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs244 · Cited by 124
An attention-based associative account of adjacent and nonadjacent dependency learning.
Pacton, S., & Perruchet, P. (2008) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/0278-7393.34.1.80 · Cited by 119
Self-citationBoosting Human Learning by Hypnosis
Nemeth, D., Janacsek, K., Polner, B., & Kovacs, Z. A. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs068 · Cited by 112
Bisson, M., van Heuven, W. J. B., Conklin, K., & Tunney, R. J. (2014) · Language Learning · doi:10.1111/lang.12085 · Cited by 111
Sherman, L. J., Rice, K., & Cassidy, J. (2015) · Developmental Review · doi:10.1016/j.dr.2015.06.001 · Cited by 102
Deacon, S. H., Wade‐Woolley, L., & Kirby, J. R. (2009) · Journal of Research in Reading · doi:10.1111/j.1467-9817.2009.01392.x · Cited by 100
All Together Now: Concurrent Learning of Multiple Structures in an Artificial Language
Romberg, A. R., & Saffran, J. R. (2013) · Cognitive Science · doi:10.1111/cogs.12050 · Cited by 77
Jeste, S. S., Kirkham, N., Senturk, D., Hasenstab, K., Sugar, C., Kupelian, C., Baker, E., Sanders, A. J., Shimizu, C., Norona, A., et al. (2015) · Developmental Science · doi:10.1111/desc.12188 · Cited by 71
Ferman, S., Olshtain, E., Schechtman, E., & Karni, A. (2009) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2008.12.002 · Cited by 51
THE CONTRIBUTIONS OF IMPLICIT-STATISTICAL LEARNING APTITUDE TO IMPLICIT SECOND-LANGUAGE KNOWLEDGE
Godfroid, A., & Kim, K. M. (2021) · Studies in Second Language Acquisition · doi:10.1017/s0272263121000085 · Cited by 51
Cross-modal transfer of statistical information benefits from sleep
Durrant, S. J., Cairney, S. A., & Lewis, P. A. (2016) · Cortex · doi:10.1016/j.cortex.2016.02.011 · Cited by 39
Altmann, G. T. M. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0060 · Cited by 42
Gendron, M., Mesquita, B., & Barrett, L. F. (2020) · Culture, Mind, and Brain · doi:10.1017/9781108695374.010 · Cited by 20
Ferman, S., & Karni, A. (2014) · Folia Phoniatrica et Logopaedica · doi:10.1159/000363135 · Cited by 11
Metadata
- Authors
- Perruchet, P., & Pacton, S.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2006-05
- Volume
- 10
- Issue
- 5
- Pages
- 233-238
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2157394445
- Cited by
- 830
- References
- 69
- FWCI
- 9.45
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.
