statistical learning / apprentissage statistique
Synonyms: implicit probabilistic learning, sequence learning
Synonymes : apprentissage de séquences, apprentissage probabiliste implicite
Group: Human, Psychology
Groupe : Homme, Psychologie
Definition: Nonconscious learning of recurring sequences or statistical regularities in the environment without reward or reinforcement.
Définition : Apprentissage non conscient de séquences récurrentes ou de régularités statistiques présentes dans l’environnement sans récompense ou renforcement.
Broader term: implicit learning
Terme générique : apprentissage implicite
Related terms: procedural memory, attention, learning
Termes associés : mémoire procédurale, attention, apprentissage
Has study methods: serial reaction time task, alternating serial reaction time task, artificial grammar learning task
Selected bibliography: Aslin, R. N., & Newport, E. L. (2012). Statistical learning: From acquiring specific items to forming general rules. Current Directions in Psychological Science, 21(3), 170–176. https://doi.org/10.1177/0963721412436806 [Study type: literature review / Access: closed], Aslin, R. N. (2017). Statistical learning: A powerful mechanism that operates by mere exposure. WIREs Cognitive Science, 8(1–2), e1373. https://doi.org/10.1002/wcs.1373 [Study type: literature review / Access: closed], Christiansen, M. H. (2019). Implicit statistical learning: A tale of two literatures. Topics in Cognitive Science, 11(3), 468–481. https://doi.org/10.1111/tops.12332 [Study type: literature review / Access: free], Conway, C. M. (2020). How does the brain learn environmental structure? Ten core principles for understanding the neurocognitive mechanisms of statistical learning. Neuroscience & Biobehavioral Reviews, 112, 279–299. https://doi.org/10.1016/j.neubiorev.2020.01.032 [Study type: literature review / Access: closed], Fiser, J., Berkes, P., Orbán, G., & Lengyel, M. (2010). Statistically optimal perception and learning: From behavior to neural representations. Trends in Cognitive Sciences, 14(3), 119–130. https://doi.org/10.1016/j.tics.2010.01.003 [Study type: literature review / Access: closed], Frost, R., Armstrong, B. C., & Christiansen, M. H. (2019). Statistical learning research : A critical review and possible new directions. Psychological Bulletin, 145(12), 1128–1153. https://doi.org/10.1037/bul0000210 [Study type: literature review / Access: closed], Isbilen, E. S., & Christiansen, M. H. (2022). Statistical learning of language : A meta-analysis into 25 years of research. Cognitive Science, 46(9), e13198. https://doi.org/10.1111/cogs.13198 [Study type: meta-analysis / Access: free], Park, J., Janacsek, K., Nemeth, D., & Jeon, H.-A. (2022). Reduced functional connectivity supports statistical learning of temporally distributed regularities. NeuroImage, 260, 119459. https://doi.org/10.1016/j.neuroimage.2022.119459 [Study type: empirical study / Access: open], Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996). Statistical learning by 8-month-old infants. Science (New York, N.Y.), 274(5294), 1926–1928. https://doi.org/10.1126/science.274.5294.1926 [Study type: empirical study / Access: closed], Saffran, J. R., & Kirkham, N. Z. (2018). Infant statistical learning. Annual Review of Psychology, 69(1), 181–203. https://doi.org/10.1146/annurev-psych-122216-011805 [Study type: literature review / Access: open], Sherman, B. E., & Turk-Browne, N. B. (2020). Statistical prediction of the future impairs episodic encoding of the present. Proceedings of the National Academy of Sciences, 117(37), 22760–22770. https://doi.org/10.1073/pnas.2013291117 [Study type: empirical study / Access: open], Szegedi-Hallgató, E., Janacsek, K., & Nemeth, D. (2019). Different levels of statistical learning—Hidden potentials of sequence learning tasks. PLOS ONE, 14(9), e0221966. https://doi.org/10.1371/journal.pone.0221966 [Study type: empirical study / Access: open], Török, B., Nagy, D. G., Kiss, M., Janacsek, K., Németh, D., & Orbán, G. (2022). Tracking the contribution of inductive bias to individualised internal models. PLOS Computational Biology, 18(6), e1010182. https://doi.org/10.1371/journal.pcbi.1010182 [Study type: empirical study / Access: open]
Dataset citations: Anderson, B., Shaqiri, A., & Danckert, J. (2018, August 28). Statistical Learning Impairments as a Consequence of Stroke. doi:10.17605/OSF.IO/F63CK, Batterink, L. (2017, April 10). Rapid statistical learning supporting word extraction from continuous speech. https://osf.io/z69fs, Bolibaugh, C. (2021, May 23). Implicit statistical learning in morphosyntactic attainment. doi:10.17605/OSF.IO/GCMXK, Chetail, F. (2017, February 28). What do we do with what we learn? Statistical learning of orthographic regularities impacts written word processing. https://osf.io/922zj, Conn, K. (2020, April 27). Persistent Guidance of Attention in Visual Statistical Learning. https://osf.io/y5zv9, Dautriche, I., Rabagliati, H., & Smith, K. (2021, June 22). Subjective confidence influences word learning in a cross-situational statistical learning task. https://osf.io/upndk, De Leeuw, J. R. (2020, February 21). Dissertation: Dynamic Constraints in Statistical Learning. https://osf.io/t5ahe, Dinh, P. N. (2020, December 3). Perceptual and statistical cues interact to influence on causal learning trajectories in adults. Retrieved https://osf.io/263x5, Duncan, D. H. (2020, July 15). Statistical Learning w/out top-down attn. https://osf.io/a6ge4, Eghbalzad, L., Deocampo, J., & Conway, C. (2020, August 28). How statistical learning interacts with the socioeconomic environment to shape children’s language development. doi:10.17605/OSF.IO/8CM2V, Everaert, J., Koster, E. H. W., & Joormann, J. (2020, April 29). Statistical learning of emotional information. https://osf.io/g5pj3, Growns, B. (2018, August 8). Visual statistical learning: evidence of frequency learning across multiple categories. https://osf.io/cet3j, Growns, B., & Martire, K. (2022, April 22). Forensic feature-comparison expertise: statistical learning facilitates visual comparison performance. Retrieved fromhttps://osf.io/bh3yg, Growns, B., & Mattijssen, E. J. A. T. (2020, November 29). Distributional Statistical Learning: How and How Well Can It Be Measured? https://osf.io/2ux9q, Growns, B., Siegelman, N., & Martire, K. (2020, July 21). The Multi-Faceted Nature of Visual Statistical Learning. https://osf.io/kua32, Himberger, K. D., Finn, A., & Honey, C. J. (2021, April 26). Reconsidering the Automaticity of Visual Statistical Learning. https://osf.io/yrq8t, Hu, A., & Qi, Z. (2022, April 9). Dissociation Between Linguistic and Nonlinguistic Statistical Learning in Children with Autism. https://osf.io/4k7mx, Huang, C., Theeuwes, J., & W., Donk, M. (2020). Statistical Learning Affects the Time Courses of Salience-Driven and Goal-Driven Selection. https://osf.io/c287k, Isbilen, E., McCauley, S., & Christiansen, M. H. (2022, February 17). Individual differences in artificial and natural language statistical learning. https://osf.io/sj9cf, Isbilen, E., McCauley, S., Kidd, E., & Christiansen, M. H. (2020, June 30). Statistically-induced chunking recall: A memory-based approach to statistical learning. Retrieved from https://osf.io/mky4h, Jun, J., & Chong, S. C. (2020, February 9). The role of temporal co-occurrence in visual statistical learning at multiple levels. https://osf.io/uqg76, Jung, Y. (2019, February 4). Statistical learning of category-level patterns in children and adults. doi:10.17605/OSF.IO/U75ZH, Kerzel, D., & Huynh Cong, S. (2022, January 19). Distractor rarity and attentional suppression contribute to statistical learning in visual search. https://osf.io/uw2va, Kidd, E. (2021, February 8). Measuring children’s auditory statistical learning via serial recall. Retrieved from https://osf.io/nz6qj, Klein-Flugge, M., Wittmann, M. K., Shpektor, A., Jensen, D., & Rushworth, M. (2019, August 16). Multiple associative structures created by reinforcement and incidental statistical learning mechanisms. doi:10.17605/OSF.IO/Y325A, Kuppuraj, S., Thompson, P. A., & Bishop, D. V. M. (2017, December 8). Statistical Learning in Adults. doi:10.17605/OSF.IO/J6SYY, Lammertink, I., Boersma, P., Wijnen, F., & Rispens, J. (2019, July 15). CAMA: Statistical Learning in SLI. https://osf.io/4exbz, Lavi-Rotbain, O., & Arnon, I. (2020, October 12). Visual Statistical Learning Is Facilitated in Zipfian Distributions. https://osf.io/p8er6, Lazartigues, L. (2022, February 28). Probability, Dependency and Frequency are not all Equally Involved in Statistical Learning. https://osf.io/hjy9k, Lazartigues, L., & Mathy, F. (2020, December 14). Statistical Learning of Unbalanced Exclusive-Or Temporal Sequences in Humans. https://osf.io/ank3p, Le Pelley, M., Watson, P., Theeuwes, J., & Most, S. (2020, September 24). Reward learning and statistical learning independently influence attentional priority of salient distractors in visual search. https://osf.io/zg3nr, Lelonkiewicz, J. R., Ullman, M., & Crepaldi, D. (2022, February 11). Readers prioritize the statistics of their native language over the learning of local regularities. doi:10.17605/OSF.IO/VC6RW, Lengyel, G. (2020, October 20). Visual-Haptic-Statistical-Learning. https://osf.io/456qb, Lengyel, G. (2020, October 24). statistical-chunk-based-attention. https://osf.io/paqhd, Li, Y., & Benitez, V. L. (2022, April 16). Lexical Tone as a Cue in Statistical Word Learning from Bilingual Input. https://osf.io/kq72m, Loui, P. (2021, December 26). Acoustic Spectrum Drives Statistical Learning of Scale Structure via Prediction Learning. Retrieved https://osf.io/pjkq2, Lukics, K. S., & Lukács, Á. (2021, September 27). The role of input properties in statistical learning: domain, modality and training effects in artificial grammar learning. https://osf.io/hzg7w, Luo, Y. (2018, January 23). Statistical learning creates novel object associations via transitive relations. doi:10.17605/OSF.IO/B7TKX, Mirković, J., & Hayiou-Thomas, M. E. (2021, August 5). Cognitive mechanisms in statistical learning. https://osf.io/95z8y, Monroy, C. D., Houston, D. M., & Yu, C. (2022, April 19). Visual Statistical Learning in Deaf and Hearing Infants and Toddlers. https://osf.io/u8k29, Moreau, C., Joanisse, M. F., Ph.D., & Batterink, L. (2020, July 22). Explicit and Implicit Measures of Statistical Learning in Adults. https://osf.io/ysrwx, Moreau, C., Joanisse, M. F., Ph.D., & Batterink, L. (2021, February 8). Auditory and Visual Statistical Learning in Children with Various Reading and Language Abilities. https://osf.io/fpa3q, Morgan, E., Fogel, A., Nair, A., & Patel, A. D. (2018, December 21). Statistical learning and Gestalt-like principles predict melodic expectations. doi:10.17605/OSF.IO/WGZ9T, Nydam, A. S., Dux, P. E., PhD, & Sewell, D. K. (2020, April 3). Cortical tDCS and Visual Statistical Learning. doi:10.17605/OSF.IO/Y34XZ, Ozernov-Palchik, O., & Qi, Z. (2022, January 18). Procedural learning and statistical learning in individuals with dyslexia. doi:10.17605/OSF.IO/RV29Z, Pearce, M. T., Krishnan, S., Dick, F., & Carey, D. (2021, May 6). Effects of statistical learning in passive and active contexts on reproduction and recognition of auditory sequences. https://osf.io/t7k34, Perceptual and statistical cues interact to influence on causal learning trajectories in adults. https://osf.io/263x5, Perfors, A., & Kidd, E. (2018, August 27). What drives individual differences in statistical learning? The role of perceptual fluency and familiarity. doi:10.17605/OSF.IO/JRPNC, Predictive processing during a naturalistic statistical learning task in ASD. https://osf.io/zbvhc, Samara, A. (2018, September 21). Statistical learning and spelling: Evidence from an incidental learning experiment with children. https://osf.io/vwz8n, Santolin, C., Rosa-Salva, O., Bastien, L., Regolin, L., & Vallortigara, G. (2020, August 6). Statistical learning in domestic chicks is modulated by strain and sex. https://osf.io/ce9pb, Sauter, M., Hanning, N. M., & Liesefeld, H. R. (2022, March 3). Post-capture processes contribute to statistical learning of distractor locations in visual search. https://osf.io/k9prw, Schmalz, X. (2016, October 21). Statistical learning and dyslexia: A systematic review. https://osf.io/ruj3v, Schmalz, X. (2018, May 25). Is statistical learning ability related to reading ability, and if so, why? https://osf.io/fqdnh, Sewell, I. J. (2022, March 19). The Relative Importance of Local Contingencies and Global Biases for Statistical Learning. https://osf.io/4vb92, Siegelman, N. (2019, November 5). rate of information and statistical learning. https://osf.io/6brs2, Smalle, E. H. M., & Möttönen, R. (2022, February 23). Disruption of the cognitive system facilitates statistical language learning. https://osf.io/dequ9, Statistical learning of spatiotemporal regularities dynamically guide visual attention across space. https://osf.io/h258s, Treiman, R., Kessler, B., Pollo, T. C., & Cardoso-Martins, C. (2019, February 17). Statistical learning and spelling: Evidence from Brazilian prephonological spellers. https://osf.io/kqzuh, Van Hedger, S. C. (2021, August 11). Talker variability facilitates the statistical learning of speech sounds. doi:10.17605/OSF.IO/6CKBH, Van Hedger, S. C. (2022, February 10). Musical instrument familiarity affects statistical learning of tone sequences. doi:10.17605/OSF.IO/FZMQE, Van Moorselaar, D. (2021, November 19). Statistical learning modulates perceptual sensitivity. https://osf.io/2vbw3, Van Witteloostuijn, M. T. G., Boersma, P., Wijnen, F., & Rispens, J. (2019, August 6). Statistical learning in dyslexia. doi:10.17605/OSF.IO/T8SCV, Van Witteloostuijn, M. T. G., Boersma, P., Wijnen, F., & Rispens, J. (2019, December 18). Statistical learning and literacy skills. doi:10.17605/OSF.IO/DR72A, Vuvan, D. T., Wojcik, E. H., & Friedman, R. S. (2020, October 16). A free and publicly available stimuli set for statistical learning experiments in language and music. https://osf.io/9n6um, Zinszer, B. D., Hannon, J., Kouadio, É., Akpé, H., Tanoh, F., Hu, A., … Jasińska, K. K. (2021, July 25). Three pilot experiments in statistical learning. https://osf.io/nza7m, datasetCitation : Benitez, V. L., & Li, Y. (2022, May 2). Statistical word learning in children and adults: The case of lexical overlap. https://osf.io/64uhc, datasetCitation : Siegelman, N. (2018, April 8). Entrechment in statistical learning. https://osf.io/x25tu