Statistical learning leads to persistent memory: Evidence for one-year consolidation

Statistical learning is a robust mechanism of the brain that enables the extraction of environmental patterns, which is crucial in perceptual and cognitive domains. However, the dynamical change of processes underlying long-term statistical memory formation has not been tested in an appropriately controlled design. Here we show that a memory trace acquired by statistical learning is resistant to inference as well as to forgetting after one year. Participants performed a statistical learning task and were retested one year later without further practice. The acquired statistical knowledge was resistant to interference, since after one year, participants showed similar memory performance on the previously practiced statistical structure after being tested with a new statistical structure. These results could be key to understand the stability of long-term statistical knowledge.

[1]  E. Wagenmakers A practical solution to the pervasive problems ofp values , 2007, Psychonomic bulletin & review.

[2]  V. Csépe,et al.  Saliency or template? ERP evidence for long-term representation of word stress. , 2013, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[3]  R. Aslin,et al.  PSYCHOLOGICAL SCIENCE Research Article UNSUPERVISED STATISTICAL LEARNING OF HIGHER-ORDER SPATIAL STRUCTURES FROM VISUAL SCENES , 2022 .

[4]  M. Ullman Contributions of memory circuits to language: the declarative/procedural model , 2004, Cognition.

[5]  Xiaolan Fu,et al.  Can unconscious knowledge allow control in sequence learning? , 2010, Consciousness and Cognition.

[6]  E. Robertson From Creation to Consolidation: A Novel Framework for Memory Processing , 2009, PLoS biology.

[7]  Richard N. Aslin,et al.  Changing Structures in Midstream: Learning Along the Statistical Garden Path , 2009, Cogn. Sci..

[8]  Karolina Janacsek,et al.  The differential consolidation of perceptual and motor learning in skill acquisition , 2013, Cortex.

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

[10]  Edwin M Robertson,et al.  New Insights in Human Memory Interference and Consolidation , 2012, Current Biology.

[11]  Z. Dienes Bayesian Versus Orthodox Statistics: Which Side Are You On? , 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.

[12]  R. Aslin,et al.  Statistical learning in a serial reaction time task: access to separable statistical cues by individual learners. , 2001, Journal of experimental psychology. General.

[13]  Zoltan Dienes,et al.  Using Bayes to get the most out of non-significant results , 2014, Front. Psychol..

[14]  Ulrich Egert,et al.  FIND -- a unified framework for neural data analysis , 2009, BMC Neuroscience.

[15]  Z. Dienes,et al.  The distinction between intuition and guessing in the SRT task generation: A reply to Norman and Price , 2010, Consciousness and Cognition.

[16]  M. Bar The proactive brain: using analogies and associations to generate predictions , 2007, Trends in Cognitive Sciences.

[17]  O. Hikosaka,et al.  Long-term retention of motor skill in macaque monkeys and humans , 2002, Experimental Brain Research.

[18]  J. Krakauer,et al.  Consolidation of motor memory , 2006, Trends in Neurosciences.

[19]  Kara Morgan-Short,et al.  Second Language Processing Shows Increased Native-Like Neural Responses after Months of No Exposure , 2012, PloS one.

[20]  D. Howard,et al.  Implicit sequence learning: effects of level of structure, adult age, and extended practice. , 2004, Psychology and aging.

[21]  Alvaro Pascual-Leone,et al.  The time course of off-line motor sequence learning. , 2005, Brain research. Cognitive brain research.

[22]  P. Berkes,et al.  Statistically Optimal Perception and Learning: from Behavior to Neural Representations , 2022 .

[23]  Jennifer C. Romano,et al.  One-year retention of general and sequence-specific skills in a probabilistic, serial reaction time task , 2010, Memory.

[24]  K. Byers‐Heinlein,et al.  Vois-Tu Le Kem? Do You See the Bos? Foreign Word Learning at 14 Months , 2016 .

[25]  A. Reber Implicit learning and tacit knowledge , 1993 .

[26]  Marcia K. Johnson,et al.  Implicit Perceptual Anticipation Triggered by Statistical Learning , 2010, The Journal of Neuroscience.

[27]  Michael C. Frank,et al.  Learning and Long-Term Retention of Large-Scale Artificial Languages , 2013, PloS one.

[28]  Karolina Janacsek,et al.  The dynamics of implicit skill consolidation in young and elderly adults. , 2011, The journals of gerontology. Series B, Psychological sciences and social sciences.

[29]  L. Jacoby A process dissociation framework: Separating automatic from intentional uses of memory , 1991 .

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

[31]  Dale Purves,et al.  A statistical explanation of visual space , 2003, Nature Neuroscience.

[32]  Karolina Janacsek,et al.  Age-dependent and coordinated shift in performance between implicit and explicit skill learning , 2013, Front. Comput. Neurosci..

[33]  Sunbin Song,et al.  Sleep Does Not Benefit Probabilistic Motor Sequence Learning , 2007, The Journal of Neuroscience.

[34]  Altering the primacy bias--how does a prior task affect mismatch negativity? , 2014, Psychophysiology.

[35]  A. Provost,et al.  Lasting first impressions: A conservative bias in automatic filters of the acoustic environment , 2011, Neuropsychologia.

[36]  Edwin M. Robertson,et al.  Unstable Memories Create a High-Level Representation that Enables Learning Transfer , 2016, Current Biology.

[37]  Luis Jiménez,et al.  Qualitative differences between implicit and explicit sequence learning. , 2006, Journal of experimental psychology. Learning, memory, and cognition.

[38]  Axel Cleeremans,et al.  Computational Models of Implicit Learning , 2019, Implicit Learning.

[39]  E. Wagenmakers,et al.  Why psychologists must change the way they analyze their data: the case of psi: comment on Bem (2011). , 2011, Journal of personality and social psychology.

[40]  K. Janacsek,et al.  Boosting human learning by hypnosis. , 2013, Cerebral cortex.

[41]  Robert B. Ammons,et al.  Long-term retention of perceptual-motor skills. , 1958 .

[42]  Joanne Arciuli,et al.  Statistical learning is lasting and consistent over time , 2012, Neuroscience Letters.

[43]  Beat Meier,et al.  Offline consolidation in implicit sequence learning , 2014, Cortex.

[44]  Alvaro Pascual-Leone,et al.  Current concepts in procedural consolidation , 2004, Nature Reviews Neuroscience.

[45]  R. Carlyon,et al.  Journal of Experimental Psychology : Human Perception and Performance Automaticity and Primacy of Auditory Streaming : Concurrent Subjective and Objective Measures , 2015 .

[46]  M. Desseilles,et al.  Both the Hippocampus and Striatum Are Involved in Consolidation of Motor Sequence Memory , 2008, Neuron.

[47]  Richard N Aslin,et al.  Bayesian learning of visual chunks by human observers , 2008, Proceedings of the National Academy of Sciences.

[48]  Karolina Janacsek,et al.  Sleep has no critical role in implicit motor sequence learning in young and old adults , 2010, Experimental Brain Research.

[49]  I. Nelken,et al.  Modeling the auditory scene: predictive regularity representations and perceptual objects , 2009, Trends in Cognitive Sciences.

[50]  E. Robertson,et al.  To Replay, Perchance to Consolidate , 2015, PLoS biology.

[51]  Axel Cleeremans,et al.  The neural correlates of implicit and explicit sequence learning: Interacting networks revealed by the process dissociation procedure. , 2005, Learning & memory.

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

[53]  N. Mackintosh,et al.  Implicit learning as an ability , 2010, Cognition.

[54]  D. Willingham,et al.  Long-term retention of a motor skill: Implicit sequence knowledge is not retained after a one-year delay , 1997 .

[55]  Richard N Aslin,et al.  Statistical learning of new visual feature combinations by infants , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[56]  D. Fabó,et al.  Competition between frontal lobe functions and implicit sequence learning: evidence from the long-term effects of alcohol , 2015, Experimental Brain Research.

[57]  Jeffrey N. Rouder,et al.  Bayesian t tests for accepting and rejecting the null hypothesis , 2009, Psychonomic bulletin & review.

[58]  Ru Qi Yu,et al.  The persistence of the attentional bias to regularities in a changing environment , 2015, Attention, perception & psychophysics.

[59]  Axel Cleeremans,et al.  Can sequence learning be implicit? New evidence with the process dissociation procedure , 2001, Psychonomic bulletin & review.

[60]  E A FLEISHMAN,et al.  Factors in the retention and relearning of perceptual-motor skill. , 1962, Journal of experimental psychology.

[61]  Marvin M. Chun,et al.  How is spatial context learning integrated over signal versus noise? A primacy effect in contextual cueing , 2007, Visual cognition.