Publication Cover
Neurocase
Behavior, Cognition and Neuroscience
Volume 24, 2018 - Issue 5-6
246
Views
2
CrossRef citations to date
0
Altmetric
Articles

Visual statistical learning deficits in memory-impaired individuals

ORCID Icon, ORCID Icon &
Pages 259-265 | Received 13 Sep 2018, Accepted 31 Jan 2019, Published online: 22 Feb 2019

References

  • Andringa, S., & Rebuschat, P. (2015). New directions in the study of implicit and explicit learning: An introduction. Studies in Second Language Acquisition, 37, 185–196.
  • Ashby, F. G., Alfonso-Reese, L. A., Turken, A. U., & Waldron, E. M. (1998). A neuropsychological theory of multiple systems in category learning. Psychological Review, 105, 442–481.
  • Aslin, R. N. (2017). Statistical learning: A powerful mechanism that operates by mere exposure. Wiley Interdisciplinary Reviews: Cognitive Science, 8, 1–7.
  • Aslin, R. N., & Newport, E. L. (2012). Statistical learning: From acquiring specific items to forming general rules. Current Directions in Psychological Science, 21, 170–176.
  • 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.
  • Bayley, P. J., Frascino, J. C., & Squire, L. R. (2005). Robust habit learning in the absence of awareness and independent of the medial temporal lobe. Nature, 436, 550–553.
  • Bays, B. C., Turk-Browne, N. B., & Seitz, A. R. (2015). Dissociable behavioural outcomes of visual statistical learning. Visual Cognition, 23, 1072–1097.
  • Brainard, D. H. (1997). The psychophysics toolbox. Spatial Vision, 10, 433–436.
  • Burgess, P. W., & Shallice, T. (1997). The Hayling and Brixton tests. Bury St. Edmunds, UK: Thames Valley Test.
  • Clos, M., Sommer, T., Schneider, S. L., & Rose, M. (2018). Enhanced transformation of incidentally learned knowledge into explicit memory by dopaminergic modulation. PloS one, 13, e0199013.
  • Covington, N. V., Brown-Schmidt, S., & Duff, M. C. (2018). The necessity of the hippocampus for statistical learning. Journal of Cognitive Neuroscience, 30, 680–697.
  • Crawford, J. R., & Howell, D. C. (1998). Comparing an individual’s test score against norms derived from small samples. The Clinical Neuropsychologist, 12, 482–486.
  • Dale, R., Duran, N. D., & Morehead, J. R. (2012). Prediction during statistical learning, and implications for the implicit/explicit divide. Advances in Cognitive Psychology, 8, 196.
  • Dienes, Z., Baddeley, R. J., & Jansari, A. (2012). Rapidly measuring the speed of unconscious learning: Amnesics learn quickly and happy people slowly. PloS one, 7, e33400.
  • Doeller, C. F., King, J. A., & Burgess, N. (2008). Parallel striatal and hippocampal systems for landmarks and boundaries in spatial memory. Proceedings of the National Academy of Sciences, 105, 5915–5920.
  • Doupe, A. J., & Kuhl, P. K. (1999). Birdsong and human speech: Common themes and mechanisms. Annual Review of Neuroscience, 22, 567–631.
  • Durrant, S. J., Cairney, S. A., & Lewis, P. A. (2012). Overnight consolidation aids the transfer of statistical knowledge from the medial temporal lobe to the striatum. Cerebral Cortex, 23, 2467–2478.
  • Fiser, J., & Aslin, R. N. (2002). Statistical learning of higher-order temporal structure from visual shape-sequences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28, 458–467.
  • Giorgio, J., Karlaftis, V. M., Wang, R., Shen, Y., Tino, P., Welchman, A., & Kourtzi, Z. (2017). Functional brain networks for learning predictive statistics. Cortex, (2017, 18.
  • Grafton, S. T., Hazeltine, E., & Ivry, R. (1995). Functional mapping of sequence learning in normal humans. Journal of Cognitive Neuroscience, 7, 497–510.
  • Johnson, A., van der Meer, M. A., & Redish, A. D. (2007). Integrating hippocampus and striatum in decision-making. Current Opinion in Neurobiology, 17, 692–697.
  • 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, 46–54.
  • Knowlton, B. J., Squire, L. R., & Gluck, M. A. (1994). Probabilistic classification learning in amnesia. Learning & Memory, 1, 106–120.
  • Levine, B. (2004). Autobiographical memory and the self in time: Brain lesion effects, functional neuroanatomy, and lifespan development. Brain and Cognition, 55, 54–68.
  • McDonald, R. J., & White, N. M. (1993). A triple dissociation of memory systems: Hippocampus, amygdala, and dorsal striatum. Behavioral Neuroscience, 107, 3.
  • McDonald, R. J., & White, N. M. (1994). Parallel information processing in the water maze: Evidence for independent memory systems involving dorsal striatum and hippocampus. Behavioral and Neural Biology, 61, 260–270.
  • Meck, W. H., Penney, T. B., & Pouthas, V. (2008). Cortico-striatal representation of time in animals and humans. Current Opinion in Neurobiology, 18, 145–152.
  • Meyer, T., & Olson, C. R. (2011). Statistical learning of visual transitions in monkey inferotemporal cortex. Proceedings of the National Academy of Sciences, 108, 19401–19406.
  • Moustafa, A. A., Keri, S., Herzallah, M. M., Myers, C. E., & Gluck, M. A. (2010). A neural model of hippocampal-striatal interactions in associative learning and transfer generalization in various neurological and psychiatric patients. Brain and Cognition, 74, 132–144.
  • O’Connell, G., Myers, C. E., Hopkins, R. O., McLaren, R. P., Gluck, M. A., & Wills, A. J. (2016). Amnesic patients show superior generalization in category learning. Neuropsychology, 30, 915–919.
  • Pennartz, C. M. A., Ito, R., Verschure, P. F. M. J., Battaglia, F. P., & Robbins, T. W. (2011). The hippocampal-striatal axis in learning, prediction and goal-directed behavior. Trends in Neurosciences, 34, 548–559.
  • Phillips, P. J., Wechsler, H., Huang, J., & Rauss, P. J. (1998). The FERET database and evaluation procedure for face-recognition algorithms. Image and Vision Computing, 16, 295–306.
  • Poldrack, R. A., Clark, J., Pare-Blagoev, E. J., Shohamy, D., Moyano, J. C., Myers, C., & Gluck, M. A. (2001). Interactive memory systems in the human brain. Nature, 414, 546.
  • Reber, P. J., Knowlton, B. J., & Squire, L. R. (1996). Dissociable properties of memory systems: Differences in the flexibility of declarative and nondeclarative knowledge. Behavioral Neuroscience, 110, 861–871.
  • Rogers, L. L., Friedman, K. G., & Vickery, T. J. (2016). No apparent influence of reward upon visual statistical learning. Frontiers in Psychology, 7, 1687.
  • Rose, M., Haider, H., & Buchel, C. (2010). The emergence of explicit memory during learning. Cerebral Cortex (New York, N.Y. : 1991), 20, 2787–2797.
  • Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996). Statistical learning by 8-month- old infants. Science, 274, 1926–1928.
  • 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, 1736–1747.
  • Schapiro, A. C., & Turk-Browne, N. B. (2015). Statistical learning. Brain Mapping: An Encyclopedic Reference, 3, 501–506.
  • Seger, C. A., & Spiering, B. J. (2011). A critical review of habit learning and the basal ganglia. Frontiers in Systems Neuroscience, 5, 66.
  • Siegelman, N., & Frost, R. (2015). Statistical learning as an individual ability: Theoretical perspectives and empirical evidence. Journal of Memory and Language, 81, 105–120.
  • Sigurdardottir, H. M., Danielsdottir, H. B., Gudmundsdottir, M., Hjartarson, K. H., Thorarinsdottir, E. A., & Kristjánsson, A. (2017). Problems with visual statistical learning in developmental dyslexia. Scientific Reports, 7, 606.
  • Smith, C. N., Urgolites, Z. J., Hopkins, R. O., & Squire, L. R. (2014). Comparison of explicit and incidental learning strategies in memory-impaired patients. Proceedings of the National Academy of Sciences, 111, 475–479.
  • Toro, J. M., & Trobalon, J. B. (2005). Statistical computations over a speech stream in a rodent. Perception and Psychophysics, 67, 867–875.
  • Turk-Browne, N. B., Scholl, B. J., Chun, M. M., & Johnson, M. K. (2009). Neural evidence of statistical learning: Efficient detection of visual regularities without awareness. Journal of Cognitive Neuroscience, 21, 1934–1945.
  • Vickery, T. J., Park, S. H., Gupta, J., & Berryhill, M. B. (2018). Tasks determine what is learned in visual statistical learning. Psychonomic Bulletin & Review, 25(5), 1847–1854.
  • Warrington, E. K. (1984). Recognition memory test. Berkshire: NFER-Nelson.
  • Wechsler, D. (2009). Wechsler memory scale: WMS-IV; technical and interpretive manual. San Antonio, TX: Pearson.
  • Yin, H. H., & Knowlton, B. J. (2006). The role of the basal ganglia in habit formation. Nature Reviews Neuroscience, 7, 464.
  • Zaki, S. R. (2004). Is categorization performance really intact in amnesia? A meta- analysis. Psychonomic Bulletin & Review, 11, 1048–1054.
  • Zaki, S. R., & Nosofsky, R. M. (2001). A single-system interpretation of dissociations between recognition and categorization in a task involving object-like stimuli. Cognitive, Affective, & Behavioral Neuroscience, 1, 344–359.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.