The cognitive and neural mechanisms of statistical learning and its relationship with language

doi:10.3724/SP.J.1042.2020.01525

Abstract

Abstract:

Statistical learning (SL), which was first addressed in the seminal study on speech segmentation of infants by Saffran et al. (1996), is a process of detecting the statistical regularities such as transitional probability in continuous flow of stimuli. Previous studies have proven the general existence of SL, and in recent years close attention has been placed on its specificity and its impact on other cognitive activities, especially revealing the cognitive neural mechanisms of SL and its interaction with language by exploring the process and the specificity of SL. According to the multimodal data from brain and behavior measures, future studies should seek more behavioral and neural indexes to evaluate the performance of SL, to explore the dynamic changes in neural activities of different types of SL and to construct the connection between neural correlates and behavioral performance, which will help to have an in-depth understanding of SL. Based on previous discoveries on the interaction between SL and language, future studies could determine whether SL is an effective intervention to improve language acquisition and how it works in the improvement, through exploring the effect of music SL training on second language learning of adult learners.

Key words: statistical learning, transitional probability, specificity, language, multimodal data

CLC Number:

B842
B844

XU Guiping, FAN Ruolin, JIN Hua. The cognitive and neural mechanisms of statistical learning and its relationship with language[J]. Advances in Psychological Science, 2020, 28(9): 1525-1538.

Figures/Tables 1

References 99

[1]	宋新燕, 孟祥芝. (2012). 婴儿语音感知发展及其机制. 心理科学进展, 20(6), 843-852.
[2]	唐溢, 张智君, 曾玫媚, 黄可, 刘炜, 赵亚军. (2015). 基于名人面孔视觉特征和语义信息的视觉统计学习. 心理学报, 47(7), 837-850.
[3]	武秋艳, 邓园. (2012). 统计学习的认知机制及其神经基础. 生物化学与生物物理进展, 39(12), 1167-1173.
[4]	Altvater-Mackensen, N., Jessen, S., & Grossmann, T. (2017). Brain responses reveal that infants' face discrimination is guided by statistical learning from distributional information. Developmental Science, 20(2), e12393. doi: 10.1111/desc. 12393 doi: 10.1111/desc.2017.20.issue-2 URL
[5]	Antovich, D. M., & Estes, K. G. (2018). Learning across languages: Bilingual experience supports dual language statistical word segmentation. Developmental Science, 21(2), e12548. doi: 10.1111/desc.12548
[6]	Arciuli, J., & Simpson, I. C. (2011). Statistical learning in typically developing children: The role of age and speed of stimulus presentation. Developmental Science, 14(3), 464-473. doi: 10.1111/j.1467-7687.2009.00937.x doi: 10.1111/j.1467-7687.2009.00937.x URL pmid: 21477186
[7]	Arciuli, J., & Simpson, I. C. (2012). Statistical learning is related to reading ability in children and adults. Cognitive Science, 36(2), 286-304. doi: 10.1111/j.1551-6709.2011. 01200.x URL pmid: 21974775
[8]	Arnon, I. (2019). Statistical learning, implicit learning, and first language acquisition: A critical evaluation of two developmental predictions. Topics in Cognitive Science. 11(3), 504-519. doi: 10.1111/tops.12428 URL pmid: 31056836
[9]	Aslin, R. N., Saffran, J. R., & Newport, E. L. (1998). Computation of conditional probability statistics by 8- month-old infants. Psychological Science, 9(4), 321-324.
[10]	Batterink, L. J. (2017). Rapid statistical learning supporting word extraction from continuous speech. Psychological Science, 28(7), 921-928. doi: 10.1177/0956797617698226 URL pmid: 28493810
[11]	Batterink, L. J., & Paller, K. A. (2017). Online neural monitoring of statistical learning. Cortex, 90, 31-45. doi: 10.1016/j.cortex.2017.02.004 doi: 10.1016/j.cortex.2017.02.004 URL pmid: 28324696
[12]	Batterink, L. J., & Paller, K. A. (2019). Statistical learning of speech regularities can occur outside the focus of attention. Cortex, 115, 56-71. doi: 10.1016/j.cortex.2019.01.013 doi: 10.1016/j.cortex.2019.01.013 URL pmid: 30771622
[13]	Batterink, L. J., Paller, K. A., & Reber, P. J. (2019). Understanding the neural bases of implicit and statistical learning. Topics in Cognitive Science. 11(3), 482-503 doi: 10.1111/tops.12420 doi: 10.1111/tops.12420 URL pmid: 30942536
[14]	Batterink, L. J., Reber, P. J., Neville, H. J., & Paller, K. A. (2015). Implicit and explicit contributions to statistical learning. Journal of Memory and Language, 83, 62-78. doi: 10.1016/j.jml.2015.04.004 doi: 10.1016/j.jml.2015.04.004 URL pmid: 26034344
[15]	Bertels, J., Franco, A., & Destrebecqz, A. (2012). How implicit is visual statistical learning? Journal of Experimental Psychology: Learning, Memory, and Cognition, 38(5), 1425-1431. doi: 10.1037/a0027210 URL pmid: 22329789
[16]	Bulgarelli, F., Bosch, L., & Weiss, D. J. (2019). Multi-pattern visual statistical learning in monolinguals and bilinguals. Frontiers in Psychology, 10, 204. doi: 10.3389/fpsyg.2019. 00204 URL pmid: 30792682
[17]	Carreiras, M., Seghier, M. L., Baquero, S., Estevez, A., Lozano, A., Devlin, J. T., & Price, C. J. (2009). An anatomical signature for literacy. Nature, 461(7266), 983-986. doi: 10.1038/nature08461 URL pmid: 19829380
[18]	Christiansen, M. H., Conway, C. M., & Onnis, L. (2012). Similar neural correlates for language and sequential learning: Evidence from event-related brain potentials. Language and Cognitive Processes, 27(2), 231-256. doi: 10.1080/01690965.2011.606666 URL pmid: 23678205
[19]	Conway, C. M., Pisoni, D. B., Anaya, E. M., Karpicke, J., & Henning, S. C. (2011). Implicit sequence learning in deaf children with cochlear implants. Developmental Science, 14(1), 69-82. doi: 10.1111/j.1467-7687.2010.00960.x doi: 10.1111/j.1467-7687.2010.00960.x URL pmid: 21159089
[20]	Cores-Bilbao, E., Fernandez-Corbacho, A., Machancoses, F. H., & Fonseca-Mora, M. C. (2019). A music-mediated language learning experience: Students' awareness of their socio-emotional skills. Frontiers in Psychology, 10, 2238. doi: 10.3389/fpsyg.2019.02238 doi: 10.3389/fpsyg.2019.02238 URL pmid: 31636585
[21]	Cunillera, T., Camara, E., Toro, J. M., Marco-Pallares, J., Sebastian-Galles, N., Ortiz, H., ... Rodriguez-Fornells, A. (2009). Time course and functional neuroanatomy of speech segmentation in adults. Neuroimage, 48(3), 541-553. doi: 10.1016/j.neuroimage.2009.06.069 doi: 10.1016/j.neuroimage.2009.06.069 URL pmid: 19580874
[22]	Cunillera, T., Toro, J. M., Sebastian-Galles, N., & Rodriguez- Fornells, A. (2006). The effects of stress and statistical cues on continuous speech segmentation: An event-related brain potential study. Brain Research, 1123(1), 168-178. doi: 10.1016/j.brainres.2006.09.046 URL pmid: 17064672
[23]	D'Mello, A. M., & Gabrieli, J. D. E. (2018). Cognitive neuroscience of dyslexia. Language, Speech, and Hearing Services in Schools, 49(4), 798-809. doi: 10.1044/2018_ LSHSS-DYSLC-18-0020 doi: 10.1044/2018_LSHSS-DYSLC-18-0020 URL pmid: 30458541
[24]	Daikoku, T., Yatomi, Y., & Yumoto, M. (2017). Statistical learning of an auditory sequence and reorganization of acquired knowledge: A time course of word segmentation and ordering. Neuropsychologia, 95, 1-10. doi: 10.1016/ j.neuropsychologia.2016.12.006 URL pmid: 27939187
[25]	Daltrozzo, J., Emerson, S. N., Deocampo, J., Singh, S., Freggens, M., Branum-Martin, L., & Conway, C. M. (2017). Visual statistical learning is related to natural language ability in adults: An ERP study. Brain and Language, 166, 40-51. doi: 10.1016/j.bandl.2016.12.005 doi: 10.1016/j.bandl.2016.12.005 URL pmid: 28086142
[26]	Das, T., Padakannaya, P., Pugh, K. R., & Singh, N. C. (2011). Neuroimaging reveals dual routes to reading in simultaneous proficient readers of two orthographies. Neuroimage, 54(2), 1476-1487. doi: 10.1016/j.neuroimage.2010.09.022 doi: 10.1016/j.neuroimage.2010.09.022 URL pmid: 20854914
[27]	de Bruin, A. (2019). Not all bilinguals are the same: A call for more detailed assessments and descriptions of bilingual experiences. Behavioral Sciences, 9(3), 33. doi: 10.3390/ bs9030033
[28]	Dehaene, S., Cohen, L., Morais, J., & Kolinsky, R. (2015). Illiterate to literate: Behavioural and cerebral changes induced by reading acquisition. Nature Reviews Neuroscience, 16(4), 234-244. doi: 10.1038/nrn3924 doi: 10.1038/nrn3924 URL pmid: 25783611
[29]	Deocampo, J. A., Smith, G. N. L., Kronenberger, W. G., Pisoni, D. B., & Conway, C. M. (2018). The role of statistical learning in understanding and treating spoken language outcomes in deaf children with cochlear implants. Language, Speech, and Hearing Services in Schools, 49(3S), 723-739. doi: 10.1044/2018_LSHSS-STLT1-17-0138 doi: 10.1044/2018_LSHSS-STLT1-17-0138 URL pmid: 30120449
[30]	Durrant, S. J., Cairney, S. A., & Lewis, P. A. (2013). Overnight consolidation aids the transfer of statistical knowledge from the medial temporal lobe to the striatum. Cerebral Cortex, 23(10), 2467-2478. doi: 10.1093/cercor/bhs244 doi: 10.1093/cercor/bhs244 URL pmid: 22879350
[31]	Elleman, A. M., Steacy, L. M., & Compton, D. L. (2019). The role of statistical learning in word reading and spelling development: More questions than answers. Scientific Studies of Reading, 23(1), 1-7. doi: 10.1080/10888438.2018. 1549045 doi: 10.1080/10888438.2018.1549045 URL pmid: 30718941
[32]	Erickson, L. C., & Thiessen, E. D. (2015). Statistical learning of language: Theory, validity, and predictions of a statistical learning account of language acquisition. Developmental Review, 37, 66-108. doi: 10.1016/j.dr.2015.05.002 URL
[33]	Finn, A. S., Kharitonova, M., Holtby, N., & Sheridan, M. A. (2019). Prefrontal and hippocampal structure predict statistical learning ability in early childhood. Journal of Cognitive Neuroscience, 31(1), 126-137. doi: 10.1162/ jocn_a_01342 URL pmid: 30240309
[34]	Fitzgerald, K., & Todd, J. (2018). Hierarchical timescales of statistical learning revealed by mismatch negativity to auditory pattern deviations. Neuropsychologia, 120, 25-34. doi: 10.1016/j.neuropsychologia.2018.09.015 URL pmid: 30268879
[35]	Forest, T. A., Lichtenfeld, A., Alvarez, B., & Finn, A. S. (2019). Superior learning in synesthetes: Consistent grapheme- color associations facilitate statistical learning. Cognition, 186, 72-81. doi: 10.1016/j.cognition.2019.02.003 doi: 10.1016/j.cognition.2019.02.003 URL
[36]	Francois, C., Chobert, J., Besson, M., & Schon, D. (2013). Music training for the development of speech segmentation. Cerebral Cortex, 23(9), 2038-2043. doi: 10.1093/cercor/ bhs180 doi: 10.1093/cercor/bhs180 URL
[37]	Francois, C., & Schon, D. (2011). Musical expertise boosts implicit learning of both musical and linguistic structures. Cerebral Cortex, 21(10), 2357-2365. doi: 10.1093/cercor/ bhr022 doi: 10.1093/cercor/bhr022 URL
[38]	Frost, R., Armstrong, B. C., Siegelman, N., & Christiansen, M. H. (2015). Domain generality versus modality specificity: The paradox of statistical learning. Trends in Cognitive Sciences, 19(3), 117-125. doi: 10.1016/j.tics.2014.12.010 doi: 10.1016/j.tics.2014.12.010 URL pmid: 25631249
[39]	Frost, R., Siegelman, N., Narkiss, A., & Afek, L. (2013). What predicts successful literacy acquisition in a second language? Psychological Science, 24(7), 1243-1252. doi: 10.1177/0956797612472207 doi: 10.1177/0956797612472207 URL pmid: 23698615
[40]	Gabay, Y., Thiessen, E. D., & Holt, L. L. (2015). Impaired statistical learning in developmental dyslexia. Journal of Speech, Language, and Hearing Research, 58(3), 934-945. doi: 10.1044/2015_JSLHR-L-14-0324 doi: 10.1044/2015_JSLHR-L-14-0324 URL pmid: 25860795
[41]	Goujon, A., Didierjean, A., & Thorpe, S. (2015). Investigating implicit statistical learning mechanisms through contextual cueing. Trends in Cognitive Sciences, 19(9), 524-533. doi: 10.1016/j.tics.2015.07.009 doi: 10.1016/j.tics.2015.07.009 URL pmid: 26255970
[42]	Hay, J. F., Pelucchi, B., Estes, K. G., & Saffran, J. R. (2011). Linking sounds to meanings: Infant statistical learning in a natural language. Cognitive Psychology, 63(2), 93-106. doi: 10.1016/j.cogpsych.2011.06.002 doi: 10.1016/j.cogpsych.2011.06.002 URL pmid: 21762650
[43]	Hu, W., Lee, H. L., Zhang, Q., Liu, T., Geng, L. B., Seghier, M. L., ... Price, C. J. (2010). Developmental dyslexia in Chinese and English populations: Dissociating the effect of dyslexia from language differences. Brain, 133(6), 1694-1706. doi: 10.1093/brain/awq106
[44]	Hung, Y. H., Frost, S. J., Molfese, P., Malins, J. G., Landi, N., Mencl, W. E., ... Pugh, K. R. (2019). Common neural basis of motor sequence learning and word recognition and its relation with individual differences in reading skill. Scientific Studies of Reading, 23(1), 89-100. doi: 10.1080/ 10888438.2018.1451533 doi: 10.1080/10888438.2018.1451533 URL pmid: 31105422
[45]	Jeste, S. S., Kirkham, N., Senturk, D., Hasenstab, K., Sugar, C., Kupelian, C., ... Johnson, S. P. (2015). Electrophysiological evidence of heterogeneity in visual statistical learning in young children with ASD. Developmental Science, 18(1), 90-105. doi: 10.1111/desc.12188 doi: 10.1111/desc.12188 URL pmid: 24824992
[46]	Jost, E., Conway, C. M., Purdy, J. D., Walk, A. M., & Hendricks, M. A. (2015). Exploring the neurodevelopment of visual statistical learning using event-related brain potentials. Brain Research, 1597, 95-107. doi: 10.1016/ j.brainres.2014.10.017 URL pmid: 25475992
[47]	Karuza, E. A., Newport, E. L., Aslin, R. N., Starling, S. J., Tivarus, M. E., & Bavelier, D. (2013). The neural correlates of statistical learning in a word segmentation task: An fMRI study. Brain and Language, 127(1), 46-54. doi: 10.1016/j.bandl.2012.11.007 doi: 10.1016/j.bandl.2012.11.007 URL pmid: 23312790
[48]	Kidd, E., & Arciuli, J. (2016). Individual differences in statistical learning predict children's comprehension of syntax. Child Development, 87(1), 184-193. doi: 10.1111/ cdev.12461 doi: 10.1111/cdev.12461 URL pmid: 26510168
[49]	Kirkham, N. Z., Slemmer, J. A., & Johnson, S. P. (2002). Visual statistical learning in infancy: Evidence for a domain general learning mechanism. Cognition, 83(2), B35-B42. doi: 10.1016/s0010-0277(02)00004-5 URL pmid: 11869728
[50]	Knowlton, B. J., Mangels, J. A., & Squire, L. R. (1996). A neostriatal habit learning system in humans. Science, 273(5280), 1399-1402. doi: 10.1126/science.273.5280.1399 URL pmid: 8703077
[51]	Koelsch, S., Busch, T., Jentschke, S., & Rohrmeier, M. (2016). Under the hood of statistical learning: A statistical MMN reflects the magnitude of transitional probabilities in auditory sequences. Scientific Reports, 6, 19741. doi: 10.1038/srep19741 doi: 10.1038/srep19741 URL pmid: 26830652
[52]	Kramsch, C. (2014). Teaching foreign languages in an era of globalization: Introduction. The Modern Language Journal, 98(1), 296-311. doi: 10.1111/j.1540-4781.2014.12057.x doi: 10.1111/j.1540-4781.2014.12057.x URL
[53]	Krogh, L., Vlach, H. A., & Johnson, S. P. (2012). Statistical learning across development: Flexible yet constrained. Frontiers in Psychology, 3, 598. doi: 10.3389/fpsyg.2012. 00598 doi: 10.3389/fpsyg.2012.00598 URL pmid: 23430452
[54]	Kuhl, P. K. (2004). Early language acquisition: Cracking the speech code. Nature Reviews Neuroscience, 5(11), 831-843. doi: 10.1038/nrn1533 URL pmid: 15496861
[55]	Kuhl, P. K., Stevenson, J., Corrigan, N. M., van den Bosch, J. J. F., Can, D. D., & Richards, T. (2016). Neuroimaging of the bilingual brain: Structural brain correlates of listening and speaking in a second language. Brain and Language, 162, 1-9. doi: 10.1016/j.bandl.2016.07.004 doi: 10.1016/j.bandl.2016.07.004 URL pmid: 27490686
[56]	Kuhl, P. K., Tsao, F. M., & Liu, H. M. (2003). Foreign- language experience in infancy: Effects of short-term exposure and social interaction on phonetic learning. Proceedings of the National Academy of Sciences of the United States of America, 100(15), 9096-9101. doi: 10.1073/ pnas.1532872100
[57]	Kuo, L. J., Kim, T. J., Yang, X., Li, H., Liu, Y., Wang, H., ... Li, Y. (2015). Acquisition of Chinese characters: The effects of character properties and individual differences among second language learners. Frontiers in Psychology, 6, 986. doi: 10.3389/fpsyg.2015.00986 URL pmid: 26379562
[58]	Lammertink, I., Boersma, P., Wijnen, F., & Rispens, J. (2017). Statistical learning in specific language impairment: A meta-analysis. Journal of Speech, Language, and Hearing Research, 60(12), 3474-3486. doi: 10.1044/2017_JSLHR- L-16-0439 doi: 10.1044/2017_JSLHR-L-16-0439 URL pmid: 29149241
[59]	Lim, S. J., Fiez, J. A., & Holt, L. L. (2019). Role of the striatum in incidental learning of sound categories. Proceedings of the National Academy of Sciences of the United States of America, 116(10), 4671-4680. doi: 10.1073/ pnas.1811992116
[60]	Liu, L., & Kager, R. (2017). Statistical learning of speech sounds is most robust during the period of perceptual attunement. Journal of Experimental Child Psychology, 164, 192-208. doi: 10.1016/j.jecp.2017.05.013 doi: 10.1016/j.jecp.2017.05.013 URL pmid: 28687119
[61]	Lopez-Barroso, D., Ripolles, P., Marco-Pallares, J., Mohammadi, B., Munte, T. F., Bachoud-Levi, A. C., ... de Diego-Balaguer, R. (2015). Multiple brain networks underpinning word learning from fluent speech revealed by independent component analysis. Neuroimage, 110, 182-193. doi: 10.1016/j.neuroimage.2014.12.085 URL pmid: 25620492
[62]	Mamiya, P. C., Richards, T. L., Coe, B. P., Eichler, E. E., & Kuhl, P. K. (2016). Brain white matter structure and COMT gene are linked to second-language learning in adults. Proceedings of the National Academy of Sciences of the United States of America, 113(26), 7249-7254. doi: 10.1073/ pnas.1606602113
[63]	Milne, A. E., Petkov, C. I., & Wilson, B. (2018). Auditory and visual sequence learning in humans and monkeys using an artificial grammar learning paradigm. Neuroscience, 389, 104-117. doi: 10.1016/j.neuroscience.2017.06.059 doi: 10.1016/j.neuroscience.2017.06.059 URL pmid: 28687306
[64]	Misyak, J. B., Christiansen, M. H., & Tomblin, J. B. (2010). On-line individual differences in statistical learning predict language processing. Frontiers in Psychology, 1, 31. doi: 10.3389/fpsyg.2010.00031 doi: 10.3389/fpsyg.2010.00031 URL pmid: 21833201
[65]	Monroy, C. D., Gerson, S. A., Dominguez-Martinez, E., Kaduk, K., Hunnius, S., & Reid, V. (2019). Sensitivity to structure in action sequences: An infant event-related potential study. Neuropsychologia, 126, 92-101. doi: 10.1016/j.neuropsychologia.2017.05.007 doi: 10.1016/j.neuropsychologia.2017.05.007 URL pmid: 28487250
[66]	Monroy, C. D., Gerson, S. A., & Hunnius, S. (2017). Toddlers' action prediction: Statistical learning of continuous action sequences. Journal of Experimental Child Psychology, 157, 14-28. doi: 10.1016/j.jecp.2016.12.004 doi: 10.1016/j.jecp.2016.12.004 URL pmid: 28103496
[67]	Monroy, C. D., Meyer, M., Schroer, L., Gerson, S. A., & Hunnius, S. (2019). The infant motor system predicts actions based on visual statistical learning. Neuroimage, 185, 947-954. doi: 10.1016/j.neuroimage.2017.12.016 doi: 10.1016/j.neuroimage.2017.12.016 URL pmid: 29225063
[68]	Newport, E. L. (2016). Statistical language learning: Computational, maturational, and linguistic constraints. Language and Cognition, 8(3), 447-461. doi: 10.1017/ langcog.2016.20 doi: 10.1017/langcog.2016.20 URL pmid: 28680505
[69]	Onnis, L., & Thiessen, E. (2013). Language experience changes subsequent learning. Cognition, 126(2), 268-284. doi: 10.1016/j.cognition.2012.10.008 doi: 10.1016/j.cognition.2012.10.008 URL pmid: 23200510
[70]	Palmer, S. D., Hutson, J., & Mattys, S. L. (2018). Statistical learning for speech segmentation: Age-related changes and underlying mechanisms. Psychology and Aging, 33(7), 1035-1044. doi: 10.1037/pag0000292 doi: 10.1037/pag0000292 URL pmid: 30247045
[71]	Perkovic, S., & Orquin, J. L. (2018). Implicit statistical learning in real-world environments leads to ecologically rational decision making. Psychological Science, 29(1), 34-44. doi: 10.1177/0956797617733831 doi: 10.1177/0956797617733831 URL pmid: 29068761
[72]	Petersson, K. M., Folia, V., & Hagoort, P. (2012). What artificial grammar learning reveals about the neurobiology of syntax. Brain and Language, 120(2), 83-95. doi: 10.1016/ j.bandl.2010.08.003 URL pmid: 20943261
[73]	Potter, C. E., Wang, T., & Saffran, J. R. (2017). Second language experience facilitates statistical learning of novel linguistic materials. Cognitive Science, 41(S4), 913-927. doi: 10.1111/cogs.12473
[74]	Qi, Z., Sanchez Araujo, Y., Georgan, W. C., Gabrieli, J. D. E., & Arciuli, J. (2018). Hearing matters more than seeing: A cross-modality study of statistical learning and reading ability. Scientific Studies of Reading, 23(1), 101-115. doi: 10.1080/10888438.2018.1485680
[75]	Raviv, L., & Arnon, I. (2018). The developmental trajectory of children's auditory and visual statistical learning abilities: Modality-based differences in the effect of age. Developmental Science, 21(4), e12593. doi: 10.1111/desc. 12593 URL pmid: 28901038
[76]	Reeder, P. A., Newport, E. L., & Aslin, R. N. (2013). From shared contexts to syntactic categories: The role of distributional information in learning linguistic form- classes. Cognitive Psychology, 66(1), 30-54. doi: 10.1016/ j.cogpsych.2012.09.001 doi: 10.1016/j.cogpsych.2012.09.001 URL pmid: 23089290
[77]	Roser, M. E., Aslin, R. N., McKenzie, R., Zahra, D., & Fiser, J. (2015). Enhanced visual statistical learning in adults with autism. Neuropsychology, 29(2), 163-172. doi: 10.1037/ neu0000137 doi: 10.1037/neu0000137 URL pmid: 25151115
[78]	Roser, M. E., Fiser, J., Aslin, R. N., & Gazzaniga, M. S. (2011). Right hemisphere dominance in visual statistical learning. Journal of Cognitive Neuroscience, 23(5), 1088-1099. doi: 10.1162/jocn.2010.21508 doi: 10.1162/jocn.2010.21508 URL pmid: 20433243
[79]	Saffran, J. R. (2018). Statistical learning as a window into developmental disabilities. Journal of Neurodevelopmental Disorders, 10(1), 35. doi: 10.1186/s11689-018-9252-y doi: 10.1186/s11689-018-9252-y URL pmid: 30541453
[80]	Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996). Statistical learning by 8-month-old infants. Science, 274(5294), 1926-1928. doi: 10.1126/science.274.5294.1926 doi: 10.1126/science.274.5294.1926 URL pmid: 8943209
[81]	Saffran, J. R., & Kirkham, N. Z. (2018). Infant statistical learning. Annual Review of Psychology, 69, 181-203. doi: 10.1146/annurev-psych-122216-011805 doi: 10.1146/annurev-psych-122216-011805 URL pmid: 28793812
[82]	Saffran, J. R., Newport, E. L., Aslin, R. N., Tunick, R. A., & Barrueco, S. (1997). Incidental language learning: Listening (and learning) out of the corner of your ear. Psychological Science, 8(2), 101-105.
[83]	Santolin, C., & Saffran, J. R. (2018). Constraints on statistical learning across species. Trends in Cognitive Sciences, 22(1), 52-63. doi: 10.1016/j.tics.2017.10.003 doi: 10.1016/j.tics.2017.10.003 URL pmid: 29150414
[84]	Sawi, O. M., & Rueckl, J. (2018). Reading and the neurocognitive bases of statistical learning. Scientific Studies of Reading, 23(1), 8-23. doi: 10.1080/10888438. 2018.1457681 URL pmid: 31105421
[85]	Schapiro, A. C., Gregory, E., Landau, B., McCloskey, M., & Turk-Browne, N. B. (2014). The necessity of the medial temporal lobe for statistical learning. Journal of Cognitive Neuroscience, 26(8), 1736-1747. doi: 10.1162/jocn_a_00578 doi: 10.1162/jocn_a_00578 URL pmid: 24456393
[86]	Schwab, J. F., Schuler, K. D., Stillman, C. M., Newport, E. L., Howard, J. H., & Howard, D. V. (2016). Aging and the statistical learning of grammatical form classes. Psychology and Aging, 31(5), 481-487. doi: 10.1037/pag0000110 doi: 10.1037/pag0000110 URL pmid: 27294711
[87]	Shufaniya, A., & Arnon, I. (2018). Statistical learning is not age-invariant during childhood: Performance improves with age across modality. Cognitive Science, 42(8), 3100-3115. doi: 10.1111/cogs.12692 doi: 10.1111/cogs.12692 URL pmid: 30276848
[88]	Siegelman, N., Bogaerts, L., & Frost, R. (2017). Measuring individual differences in statistical learning: Current pitfalls and possible solutions. Behavior Research Methods, 49(2), 418-432. doi: 10.3758/s13428-016-0719-z doi: 10.3758/s13428-016-0719-z URL pmid: 26944577
[89]	Siegelman, N., & Frost, R. (2015). Statistical learning as an individual ability: Theoretical perspectives and empirical evidence. Journal of Memory and Language, 81, 105-120. doi: 10.1016/j.jml.2015.02.001 doi: 10.1016/j.jml.2015.02.001 URL pmid: 25821343
[90]	Siok, W. T., Perfetti, C. A., Jin, Z., & Tan, L. H. (2004). Biological abnormality of impaired reading is constrained by culture. Nature, 431, 71-76. doi: 10.1038/nature02865 URL pmid: 15343334
[91]	Slone, L. K., & Johnson, S. P. (2018). When learning goes beyond statistics: Infants represent visual sequences in terms of chunks. Cognition, 178, 92-102. doi: 10.1016/ j.cognition.2018.05.016 doi: 10.1016/j.cognition.2018.05.016 URL pmid: 29842989
[92]	Spencer, M., Kaschak, M. P., Jones, J. L., & Lonigan, C. J. (2015). Statistical learning is related to early literacy- related skills. Reading and Writing, 28(4), 467-490. doi: 10.1007/s11145-014-9533-0 doi: 10.1007/s11145-014-9533-0 URL pmid: 26478658
[93]	Squire, L. R., Stark, C. E., & Clark, R. E. (2004). The medial temporal lobe. Annual Review Neuroscience, 27, 279-306.
[94]	Thiessen, E. D., Kronstein, A. T., & Hufnagle, D. G. (2013). The extraction and integration framework: A two-process account of statistical learning. Psychological Bulletin, 139(4), 792-814. doi: 10.1037/a0030801 URL pmid: 23231530
[95]	Thiessen, E. D., Onnis, L., Hong, S. J., & Lee, K. S. (2019). Early developing syntactic knowledge influences sequential statistical learning in infancy. Journal of Experimental Child Psychology, 177, 211-221. doi: 10.1016/j.jecp.2018. 04.009 doi: 10.1016/j.jecp.2018.04.009 URL pmid: 30227354
[96]	Treiman, R., Kessler, B., Boland, K., Clocksin, H., & Chen, Z. (2018). Statistical learning and spelling: Older prephonological spellers produce more wordlike spellings than younger prephonological spellers. Child Development, 89(4), e431-e443. doi: 10.1111/cdev.12893 doi: 10.1111/cdev.12893 URL pmid: 28686300
[97]	Wang, T., & Saffran, J. R. (2014). Statistical learning of a tonal language: The influence of bilingualism and previous linguistic experience. Frontiers in Psychology, 5, 953. doi: 10.3389/fpsyg.2014.00953 doi: 10.3389/fpsyg.2014.00953 URL pmid: 25232344
[98]	Yu, A., Chen, M. S. Y., Cherodath, S., Hung, D. L., Tzeng, O. J. L., & Wu, D. H. (2019). Neuroimaging evidence for sensitivity to orthography-to-phonology conversion in native readers and foreign learners of Chinese. Journal of Neurolinguistics, 50, 53-70. doi: 10.1016/j.jneuroling.2018. 07.002
[99]	Zhao, T. C., & Kuhl, P. K. (2016). Musical intervention enhances infants' neural processing of temporal structure in music and speech. Proceedings of the National Academy of Sciences of the United States of America, 113(19), 5212-5217. doi: 10.1073/pnas.1603984113