Concurrent Learning of Adjacent and Nonadjacent Dependencies in Visuo-Spatial and Visuo-Verbal Sequences

Both adjacent and non-adjacent dependencies (AD and NAD) are present in natural language and other domains, yet the learning of non-adjacent sequential dependencies generally only occurs under favorable circumstances. It is currently unknown to what extent adults can learn AD and NAD, presented concurrently in spatial and verbal sequences during a single session, and whether a second session improves performance. In addition, the relationship between AD and NAD learning and other theoretically related cognitive and language processes has not yet been fully established. In this study, participants reproduced two types of sequences generated from an artificial grammar: visuo-spatial sequences with stimuli presented in four spatial locations, and visuo-verbal sequences with printed syllables. Participants were tested for incidental learning by reproducing novel sequences, half consistent with the grammar and half containing violations of either AD or NAD. The procedure was repeated on a second day. Results showed that both AD and NAD were learned in both visuo-spatial and visuo-verbal tasks, although AD learning was better than NAD and learning of NAD decreased over time. Furthermore, NAD learning for both spatial and verbal tasks was positively correlated with a language measure, whereas AD learning for both spatial and verbal tasks was negatively associated with working memory measures in the opposite domain. These results demonstrate that adults can learn both AD and NAD within a single session, but NAD learning is more easily disrupted than AD and both types of learning are sub-served by partially distinct cognitive processes. These findings increase our understanding of the processes governing the learning of AD and NAD in verbal and spatial domains.

[1]  Jill Lany,et al.  The Role of Prior Experience in Language Acquisition , 2007, Cogn. Sci..

[2]  T. Salthouse Is flanker-based inhibition related to age? Identifying specific influences of individual differences on neurocognitive variables , 2010, Brain and Cognition.

[3]  Marina Nespor,et al.  Signal-Driven Computations in Speech Processing , 2002, Science.

[4]  Dennis Norris,et al.  Repetition-spacing and item-overlap effects in the Hebb repetition task , 2013 .

[5]  Antje S. Meyer,et al.  EMPIRICAL STUDY Concurrent Statistical Learning of Adjacent and Nonadjacent Dependencies , 2016 .

[6]  Padraic Monaghan,et al.  Simultaneous segmentation and generalisation of non-adjacent dependencies from continuous speech , 2016, Cognition.

[7]  John R. Kirby,et al.  COLLABORATIVE AND COMPETITIVE EFFECTS OF VERBAL AND SPATIAL PROCESSES , 1993 .

[8]  Morten H. Christiansen,et al.  PSYCHOLOGICAL SCIENCE Research Article Statistical Learning Within and Between Modalities Pitting Abstract Against Stimulus-Specific Representations , 2022 .

[9]  Nick Chater,et al.  Phonology impacts segmentation in online speech processing , 2005 .

[10]  D. Woltz,et al.  Negative transfer errors in sequential cognitive skills: strong-but-wrong sequence application. , 2000, Journal of experimental psychology. Learning, memory, and cognition.

[11]  Comprehensive Assessment of Spoken Language (casl) , 2022 .

[12]  M. A. Stadler,et al.  On learning complex procedural knowledge. , 1989, Journal of experimental psychology. Learning, memory, and cognition.

[13]  Morten H. Christiansen,et al.  Sequential learning in non-human primates , 2001, Trends in Cognitive Sciences.

[14]  Gilbert Remillard,et al.  Implicit Learning of Second-, Third-, and Fourth-Order Adjacent and Nonadjacent Sequential Dependencies , 2008, Quarterly journal of experimental psychology.

[15]  R. Peereman,et al.  Learning Nonadjacent Dependencies: No Need for Algebraic-like Computations Is It Possible to Learn the Relation between 2 Nonadjacent Events? , 2004 .

[16]  Pierre Perruchet,et al.  Synthetic grammar learning: Implicit rule abstraction or explicit fragmentary knowledge? Journal of , 1990 .

[17]  Morten H. Christiansen,et al.  Implicit learning of non-adjacent dependencies: A graded, associative account , 2015 .

[18]  Jeffrey L. Elman,et al.  Finding Structure in Time , 1990, Cogn. Sci..

[19]  Christopher M. Conway,et al.  Implicit sequence learning in deaf children with cochlear implants. , 2011, Developmental science.

[20]  Evan Kidd,et al.  Individual Differences in Statistical Learning Predict Children's Comprehension of Syntax. , 2016, Child development.

[21]  R. Gómez,et al.  Twelve-Month-Old Infants Benefit From Prior Experience in Statistical Learning , 2008, Psychological science.

[22]  N. Cowan,et al.  A central capacity limit to the simultaneous storage of visual and auditory arrays in working memory. , 2007, Journal of experimental psychology. General.

[23]  W. Fitch,et al.  Non-adjacent visual dependency learning in chimpanzees , 2015, Animal Cognition.

[24]  Jeffrey D. Karpicke,et al.  Using immediate memory span , 2004, Memory & cognition.

[25]  Andrew J. Johnson,et al.  Hebb repetition effects for non-verbal visual sequences: determinants of sequence acquisition , 2017, Memory.

[26]  E. Elliott,et al.  Can we improve the clinical assessment of working memory? An evaluation of the Wechsler Adult Intelligence Scale–Third Edition using a working memory criterion construct , 2010, Journal of clinical and experimental neuropsychology.

[27]  E. Newport,et al.  Computation of Conditional Probability Statistics by 8-Month-Old Infants , 1998 .

[28]  R. Gómez Variability and Detection of Invariant Structure , 2002, Psychological science.

[29]  Scott P. Johnson,et al.  Visual statistical learning in infancy: evidence for a domain general learning mechanism , 2002, Cognition.

[30]  Robert M. Gonyea,et al.  Learning at a Distance : , 2009 .

[31]  J. Grill,et al.  Patterns of neuropsychological deficits in children with medulloblastoma according to craniospatial irradiation doses , 2000, Developmental medicine and child neurology.

[32]  Paavo Alku,et al.  Statistical language learning in neonates revealed by event-related brain potentials , 2009, BMC Neuroscience.

[33]  Candice C Morey,et al.  Spatial sequences, but not verbal sequences, are vulnerable to general interference during retention in working memory. , 2016, Journal of experimental psychology. Learning, memory, and cognition.

[34]  J. H. Howard,et al.  Age differences in implicit learning of higher order dependencies in serial patterns. , 1997, Psychology and aging.

[35]  Christopher M. Conway,et al.  Implicit statistical learning in language processing: Word predictability is the key , 2010, Cognition.

[36]  Morten H. Christiansen,et al.  Statistical learning of probabilistic nonadjacent dependencies by multiple-cue integration , 2012 .

[37]  P. Perruchet,et al.  Implicit learning and statistical learning: one phenomenon, two approaches , 2006, Trends in Cognitive Sciences.

[38]  C. Eriksen,et al.  Effects of noise letters upon the identification of a target letter in a nonsearch task , 1974 .

[39]  M P A Page,et al.  A model linking immediate serial recall, the Hebb repetition effect and the learning of phonological word forms , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.

[40]  M. Page,et al.  Can Chunk Size Differences Explain Developmental Changes in Lexical Learning? , 2016, Front. Psychol..

[41]  Jenny R. Saffran,et al.  All Together Now: Concurrent Learning of Multiple Structures in an Artificial Language , 2013, Cogn. Sci..

[42]  Sébastien Pacton,et al.  Is an attention-based associative account of adjacent and nonadjacent dependency learning valid? , 2015, Acta psychologica.

[43]  E. Newport,et al.  Learning at a distance I. Statistical learning of non-adjacent dependencies , 2004, Cognitive Psychology.

[44]  R. de Diego-Balaguer,et al.  Temporal Attention as a Scaffold for Language Development , 2016, Front. Psychol..

[45]  N. Chater,et al.  Transfer in artificial grammar learning : A reevaluation , 1996 .

[46]  Michael F. Bunting,et al.  Working memory span tasks: A methodological review and user’s guide , 2005, Psychonomic bulletin & review.

[47]  Sébastien Pacton,et al.  An attention-based associative account of adjacent and nonadjacent dependency learning. , 2008, Journal of experimental psychology. Learning, memory, and cognition.

[48]  Visual learning of statistical relations among nonadjacent features: Evidence for structural encoding , 2011, Visual cognition.

[49]  C. I. Hovland Experimental studies in rote-learning theory. I. Reminiscence following learning by massed and by distributed practice. , 1938 .

[50]  Christopher M. Conway,et al.  Neurocognitive mechanisms of statistical-sequential learning: what do event-related potentials tell us? , 2014, Front. Hum. Neurosci..

[51]  Scott P. Johnson,et al.  Visual statistical learning in the newborn infant , 2011, Cognition.

[52]  Mary Hegarty,et al.  How are visuospatial working memory, executive functioning, and spatial abilities related? A latent-variable analysis. , 2001, Journal of experimental psychology. General.

[53]  R N Aslin,et al.  Statistical Learning by 8-Month-Old Infants , 1996, Science.

[54]  Sarah C. Creel,et al.  Distant melodies: statistical learning of nonadjacent dependencies in tone sequences. , 2004, Journal of experimental psychology. Learning, memory, and cognition.

[55]  Dylan M. Jones,et al.  Functional equivalence of verbal and spatial information in serial short-term memory. , 1995, Journal of experimental psychology. Learning, memory, and cognition.

[56]  Jeffrey L. Foster,et al.  Shortened complex span tasks can reliably measure working memory capacity , 2015, Memory & cognition.

[57]  Morten H. Christiansen,et al.  Modality-constrained statistical learning of tactile, visual, and auditory sequences. , 2005, Journal of experimental psychology. Learning, memory, and cognition.