Combining fMRI and behavioral measures to examine the process of human learning

Karuza, Elisabeth A.; Emberson, Lauren L.; Aslin, Richard N.

doi:10.1016/j.nlm.2013.09.012

Cited by 51Memory and Neural MechanismsMemory Processes and InfluencesNeural and Behavioral Psychology Studies

Combining fMRI and behavioral measures to examine the process of human learning

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Karuza, Elisabeth A., Emberson, Lauren L., Aslin, Richard N.·2014·Neurobiology of Learning and Memory

DOI 10.1016/j.nlm.2013.09.012PMC PMC3963805

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Abstract

Prior to the advent of fMRI, the primary means of examining the mechanisms underlying learning were restricted to studying human behavior and non-human neural systems. However, recent advances in neuroimaging technology have enabled the concurrent study of human behavior and neural activity. We propose that the integration of behavioral response with brain activity provides a powerful method of investigating the process through which internal representations are formed or changed. Nevertheless, a review of the literature reveals that many fMRI studies of learning either (1) focus on outcome rather than process or (2) are built on the untested assumption that learning unfolds uniformly over time. We discuss here various challenges faced by the field and highlight studies that have begun to address them. In doing so, we aim to encourage more research that examines the process of learning by considering the interrelation of behavioral measures and fMRI recording during learning.

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Neuroimaging might depict evidence of neural plasticity that precedes measurable changes in cognition.
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Neural Networks: A Comprehensive Foundation
Haykin, S. (1998) · Cited by 30,070 · see citing works
Finding structure in time
Elman, J. L. (1990) · Cognitive Science · doi:10.1207/s15516709cog1402_1 · Cited by 11,212 · see citing works
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388 · see citing works
A theory of Pavlovian conditioning : Variations in the effectiveness of reinforcement and nonreinforcement
Rescorla, R. A. (1972) · Medical Entomology and Zoology · Cited by 7,268 · see citing works
Statistical learning by 8-month-old infants
Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996) · Science · doi:10.1126/science.274.5294.1926 · Cited by 5,659 · see citing works
Self-citation
Learning to predict by the methods of temporal differences
Sutton, R. S. (1988) · Machine Learning · doi:10.1007/bf00115009 · Cited by 5,148 · see citing works
Classical conditioning II: Current research and theory.
Black, A. H., & Prokasy, W. F. (1972) · Appleton-Century-Crofts eBooks · Cited by 4,449 · see citing works
The Behavior of Organisms: An Experimental Analysis
Jones, F. N., & Skinner, B. F. (1939) · The American Journal of Psychology · doi:10.2307/1416495 · Cited by 4,388 · see citing works
Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging.
Ogawa, S., Tank, D. W., Menon, R., Ellermann, J. M., Kim, S. G., Merkle, H., & Ugurbil, K. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.13.5951 · Cited by 3,681 · see citing works
Attentional requirements of learning: Evidence from performance measures
Nissen, M. J., & Bullemer, P. (1987) · Cognitive Psychology · doi:10.1016/0010-0285(87)90002-8 · Cited by 2,966 · see citing works
Conditioned Reflexes: An Investigation of the Physiological Activity of the Cerebral Cortex.
Pavlov, P. I. (1930) · Archives of Neurology And Psychiatry · doi:10.1001/archneurpsyc.1930.02220110256018 · Cited by 2,681 · see citing works
Purposive Behavior in Animals and Men
Rodhom, C., & Tolman, E. C. (1950) · The American Journal of Psychology · doi:10.2307/1418946 · Cited by 2,455 · see citing works
Learning the value of information in an uncertain world
Behrens, T. E. J., Woolrich, M. W., Walton, M. E., & Rushworth, M. F. S. (2007) · Nature Neuroscience · doi:10.1038/nn1954 · Cited by 2,053 · see citing works
Implicit learning of artificial grammars
Reber, A. (1967) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(67)80149-x · Cited by 1,911 · see citing works
Functional mapping of the human visual cortex by magnetic resonance imaging
Belliveau, J. W., Kennedy, D. N., McKinstry, R. C., Buchbinder, B. R., Weisskoff, R. M., Cohen, M. S., Vevea, J. M., Brady, T. J., & Rosen, B. R. (1991) · Science · doi:10.1126/science.1948051 · Cited by 1,883 · see citing works
Functional MRI evidence for adult motor cortex plasticity during motor skill learning
Kami, A., Meyer, G., Jezzard, P., Adams, M. M., Turner, R., & Ungerleider, L. G. (1995) · Nature · doi:10.1038/377155a0 · Cited by 1,883 · see citing works
Interpreting the BOLD Signal
Logothetis, N. K., & Wandell, B. A. (2004) · Annual Review of Physiology · doi:10.1146/annurev.physiol.66.082602.092845 · Cited by 1,568 · see citing works
Conditioned reflexes: An investigation of the physiological activity of the cerebral cortex
Pavlov, I. P. (2010) · Annals of Neurosciences · doi:10.5214/ans.0972-7531.1017309 · Cited by 1,466 · see citing works
Implicit learning and tacit knowledge: an essay on the cognitive unconscious
(1994) · Choice Reviews Online · doi:10.5860/choice.31-3490 · Cited by 1,432 · see citing works
Word Segmentation: The Role of Distributional Cues
Saffran, J. R., Newport, E. L., & Aslin, R. N. (1996) · Journal of Memory and Language · doi:10.1006/jmla.1996.0032 · Cited by 1,405 · see citing works
Self-citation
Modeling hippocampal and neocortical contributions to recognition memory: a complementary-learning-systems approach
Norman, K. A., & O'Reilly, R. C. (2003) · Psychological Review · doi:10.1037/0033-295x.110.4.611 · Cited by 1,312 · see citing works
Characteristics of dissociable human learning systems
Shanks, D. R., & St. John, M. F. (1994) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00035032 · Cited by 1,163 · see citing works
Interactive memory systems in the human brain
Poldrack, R. A., Clark, J., Paré-Blagoev, E. J., Shohamy, D., Creso Moyano, J., Myers, C., & Gluck, M. A. (2001) · Nature · doi:10.1038/35107080 · Cited by 1,132 · see citing works
Animal intelligence; experimental studies
Thorndike, E. L. (1911) · doi:10.5962/bhl.title.55072 · Cited by 1,100 · see citing works
Visual statistical learning in infancy: evidence for a domain general learning mechanism
Kirkham, N. Z., Slemmer, J. A., & Johnson, S. P. (2002) · Cognition · doi:10.1016/s0010-0277(02)00004-5 · Cited by 1,072 · see citing works
From Conditioning to Conscious Recollection
Eichenbaum, H., & Cohen, N. J. (2004) · doi:10.1093/acprof:oso/9780195178043.001.0001 · Cited by 1,026 · see citing works
Neural Correlates of Motor Memory Consolidation
Shadmehr, R., & Holcomb, H. H. (1997) · Science · doi:10.1126/science.277.5327.821 · Cited by 1,022 · see citing works
Dopamine responses comply with basic assumptions of formal learning theory
Waelti, P., Dickinson, A., & Schultz, W. (2001) · Nature · doi:10.1038/35083500 · Cited by 1,018 · see citing works
Associative learning of social value
Behrens, T. E. J., Hunt, L. T., Woolrich, M. W., & Rushworth, M. F. S. (2008) · Nature · doi:10.1038/nature07538 · Cited by 925 · see citing works
Animal Intelligence. Experimental Studies
Thorndike, E. L., & Jelliffe (1912) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-191205000-00016 · Cited by 824 · see citing works
The Automaticity of Visual Statistical Learning.
Turk‐Browne, N. B., Junge, J. A., & Scholl, B. J. (2005) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.134.4.552 · Cited by 817 · see citing works
The Goldilocks Effect: Human Infants Allocate Attention to Visual Sequences That Are Neither Too Simple Nor Too Complex
Kidd, C., Piantadosi, S. T., & Aslin, R. Ν. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036399 · Cited by 788 · see citing works
Self-citation
Contributions of the basal ganglia and functionally related brain structures to motor learning
Doyon, J., Bellec, P., Amsel, R., Penhune, V., Monchi, O., Carrier, J., Lehéricy, S., & Benali, H. (2009) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.11.012 · Cited by 783 · see citing works
Learning at a distance I. Statistical learning of non-adjacent dependencies.
Newport, E., & Aslin, R. (2004) · Cognitive Psychology · doi:10.1016/s0010-0285(03)00128-2 · Cited by 735 · see citing works
Self-citation
Behavioral studies of Pavlovian conditioning
Rescorla, R. A. (1988) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.11.030188.001553 · Cited by 715 · see citing works
Statistical learning of new visual feature combinations by infants
Fiser, J., & Aslin, R. N. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.232472899 · Cited by 637 · see citing works
Self-citation
Distinct basal ganglia territories are engaged in early and advanced motor sequence learning
Lehéricy, S., Benali, H., Van de Moortele, P.-F., Pélégrini-Issac, M., Waechter, T., Ugurbil, K., & Doyon, J. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0502762102 · Cited by 634 · see citing works
An fMRI Study of the Role of the Medial Temporal Lobe in Implicit and Explicit Sequence Learning
Schendan, H. E., Searl, M. M., Melrose, R. J., & Stern, C. E. (2003) · Neuron · doi:10.1016/s0896-6273(03)00123-5 · Cited by 610 · see citing works
Decision theory, reinforcement learning, and the brain
Dayan, P., & Daw, N. D. (2008) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.8.4.429 · Cited by 580 · see citing works
Integrating Memories in the Human Brain: Hippocampal-Midbrain Encoding of Overlapping Events
Daphna Shohamy, A., & Wagner, A. D. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.023 · Cited by 525 · see citing works
Neural Evidence of Statistical Learning: Efficient Detection of Visual Regularities Without Awareness
Turk-Browne, N. B., Scholl, B. J., Chun, M. M., & Johnson, M. K. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21131 · Cited by 523 · see citing works
Differential Contribution of Frontal and Temporal Cortices to Auditory Change Detection: fMRI and ERP Results
Opitz, B., Rinne, T., Mecklinger, A., von Cramon, D. Y., & Schröger, E. (2002) · NeuroImage · doi:10.1006/nimg.2001.0970 · Cited by 513 · see citing works
Transition of Brain Activation from Frontal to Parietal Areas in Visuomotor Sequence Learning
Sakai, K., Hikosaka, O., Miyauchi, S., Takino, R., Sasaki, Y., & Pütz, B. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-05-01827.1998 · Cited by 468 · see citing works
Assessment of the Rescorla-Wagner model.
Miller, R. R., Barnet, R. C., & Grahame, N. J. (1995) · Psychological Bulletin · doi:10.1037/0033-2909.117.3.363 · Cited by 429 · see citing works
Striatal activation during acquisition of a cognitive skill.
Poldrack, R. A., Prabhakaran, V., Seger, C. A., & Gabrieli, J. D. E. (1999) · Neuropsychology · doi:10.1037//0894-4105.13.4.564 · Cited by 428 · see citing works
Striatal activation during acquisition of a cognitive skill.
Poldrack, R. A., Prabhakaran, V., Seger, C. A., & Gabrieli, J. D. E. (1999) · Neuropsychology · doi:10.1037/0894-4105.13.4.564 · Cited by 428 · see citing works
Hemispheric asymmetries of memory: the HERA model revisited.
Habib, R., Nyberg, L., & Tulving, E. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00110-4 · Cited by 420 · see citing works
Implicit and explicit learning: Individual differences and IQ.
Reber, A. S., Walkenfeld, F. F., & Hernstadt, R. (1991) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.17.5.888 · Cited by 400 · see citing works
Artificial grammar learning depends on implicit acquisition of both abstract and exemplar-specific information.
Knowlton, B. J., & Squire, L. R. (1996) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.22.1.169 · Cited by 381 · see citing works
Differential modulation of a common memory retrieval network revealed by positron emission tomography
Maguire, E. A., & Mummery, C. J. (1999) · Hippocampus · doi:10.1002/(sici)1098-1063(1999)9:1 · Cited by 362 · see citing works
Implicit Perceptual Anticipation Triggered by Statistical Learning
Turk‐Browne, N. B., Scholl, B. J., Johnson, M. K., & Chun, M. M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0858-10.2010 · Cited by 360 · see citing works
Cortical Microcircuit Dynamics Mediating Binocular Rivalry: The Role of Adaptation in Inhibition
Theodoni, P., Panagiotaropoulos, T. I., Kapoor, V., Logothetis, N. K., & Deco, G. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00145 · Cited by 338 · see citing works
Direct Comparison of Neural Systems Mediating Conscious and Unconscious Skill Learning
Willingham, D. B., Salidis, J., & Gabrieli, J. D. E. (2002) · Journal of Neurophysiology · doi:10.1152/jn.2002.88.3.1451 · Cited by 327 · see citing works
Learning latent structure: carving nature at its joints
Gershman, S. J., & Niv, Y. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.008 · Cited by 326 · see citing works
BOLD correlates of trial-by-trial reaction time variability in gray and white matter: a multi-study fMRI analysis
Yarkoni, T., Barch, D. M., Gray, J. R., Conturo, T. E., & Braver, T. S. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004257 · Cited by 312 · see citing works
A Dual Role for Prediction Error in Associative Learning
den Ouden, H. E. M., Friston, K. J., Daw, N. D., McIntosh, A. R., & Stephan, K. E. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn161 · Cited by 306 · see citing works
Striatal Prediction Error Modulates Cortical Coupling
den Ouden, H. E. M., Daunizeau, J., Roiser, J., Friston, K. J., & Stephan, K. E. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4458-09.2010 · Cited by 304 · see citing works
Implicit and explicit knowledge bases in artificial grammar learning.
Dienes, Z. P., Broadbent, D. E., & Berry, D. C. (1991) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.17.5.875 · Cited by 272 · see citing works
Evidence of Developmental Differences in Implicit Sequence Learning: An fMRI Study of Children and Adults
Thomas, K. M., Hunt, R. H., Vizueta, N., Sommer, T., Durston, S., Yang, Y., & Worden, M. S. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929042304688 · Cited by 260 · see citing works
Dynamics of Frontal, Striatal, and Hippocampal Systems during Rule Learning
Seger, C. A. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj092 · Cited by 222 · see citing works
Statistical learning in a serial reaction time task: access to separable statistical cues by individual learners.
Hunt, R. H., & Aslin, R. (2001) · Journal of experimental psychology. General · doi:10.1037//0096-3445.130.4.658 · Cited by 216 · see citing works
Self-citation
The neural correlates of statistical learning in a word segmentation task: An fMRI study
Karuza, E. A., Newport, E., Aslin, R., Starling, S., Tivarus, M., & Bavelier, D. (2013) · Brain and Language · doi:10.1016/j.bandl.2012.11.007 · Cited by 213 · see citing works
Self-citation
Encoding Multielement Scenes: Statistical Learning of Visual Feature Hierarchies.
Fiser, J., & Aslin, R. Ν. (2005) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.134.4.521 · Cited by 209 · see citing works
Self-citation
Temporal Sequence Learning, Prediction, and Control: A Review of Different Models and Their Relation to Biological Mechanisms
Wörgötter, F., & Porr, B. (2005) · Neural Computation · doi:10.1162/0899766053011555 · Cited by 203 · see citing works
An Event-related fMRI Study of Artificial Grammar Learning in a Balanced Chunk Strength Design
Lieberman, M. D., Chang, G., Chiao, J., Bookheimer, S., & Knowlton, B. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/089892904322926764 · Cited by 199 · see citing works
Cracking the Language Code: Neural Mechanisms Underlying Speech Parsing
Mcnealy, K., Mazziotta, J., & Dapretto, M. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.5501-05.2006 · Cited by 198 · see citing works
What artificial grammar learning reveals about the neurobiology of syntax
Petersson, K. M., Folia, V., & Peter Hagoort, A. (2010) · Brain and Language · doi:10.1016/j.bandl.2010.08.003 · Cited by 195 · see citing works
Where Infants Look Determines How They See: Eye Movements and Object Perception Performance in 3‐Month‐Olds
Johnson, S. P., Slemmer, J. A., & Amso, D. (2004) · Infancy · doi:10.1207/s15327078in0602_3 · Cited by 173 · see citing works
Statistical learning in a serial reaction time task: Access to separable statistical cues by individual learners.
Hunt, R. H., & Aslin, R. Ν. (2001) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.130.4.658 · Cited by 158 · see citing works
Self-citation
Statistical Learning of Adjacent and Non-Adjacent Dependencies among Non-Linguistic Sounds
Gebhart, A. L., Newport, E., & Aslin, R. (2009) · Psychonomic Bulletin & Review · doi:10.3758/pbr.16.3.486 · Cited by 157 · see citing works
Self-citation
On-line Assessment of Statistical Learning by Event-related Potentials
Abla, D., Katahira, K., & Okanoya, K. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20058 · Cited by 150 · see citing works
Time course and functional neuroanatomy of speech segmentation in adults
Cunillera, T., Càmara, E., Toro, J. M., Marco-Pallarés, J., Sebastián-Gallés, N., Ortiz, H., Pujol, J., & Rodríguez-Fornells, A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.069 · Cited by 149 · see citing works
Neural correlates of artificial syntactic structure classification
Forkstam, C., Hagoort, P., Fernández, G., Ingvar, M., & Petersson, K. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.03.057 · Cited by 144 · see citing works
Artificial syntactic violations activate Broca's region
Petersson, K. M., Forkstam, C., & Ingvar, M. (2004) · Cognitive Science · doi:10.1207/s15516709cog2803_4 · Cited by 141 · see citing works
Brain Networks of Explicit and Implicit Learning
Yang, J., & Li, P. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042993 · Cited by 138 · see citing works
The scanner as a stressor: Evidence from subjective and neuroendocrine stress parameters in the time course of a functional magnetic resonance imaging session
Muehlhan, M., Lueken, U., Wïttchen, H., & Kirschbaum, C. (2010) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2010.09.009 · Cited by 124 · see citing works
Locally Bayesian learning with applications to retrospective revaluation and highlighting.
Kruschke, J. K. (2006) · Psychological Review · doi:10.1037/0033-295x.113.4.677 · Cited by 110 · see citing works
Towards an explicit account of implicit learning
Forkstam, C., & Petersson, K. M. (2005) · Current Opinion in Neurology · doi:10.1097/01.wco.0000171951.82995.c4 · Cited by 97 · see citing works
Striatal activations signal prediction errors on confidence in the absence of external feedback
Daniel, R., & Pollmann, S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.058 · Cited by 91 · see citing works
Neural Correlates of Artificial Grammar Learning
Skosnik, P. D., Mirza, F., Gitelman, D. R., Parrish, T. B., Mesulam, M. M., & Reber, P. J. (2002) · NeuroImage · doi:10.1006/nimg.2002.1291 · Cited by 87 · see citing works
The retrieval of learned sequences engages the hippocampus: Evidence from fMRI
Ross, R. S., Brown, T. I., & Stern, C. E. (2009) · Hippocampus · doi:10.1002/hipo.20558 · Cited by 82 · see citing works
The Neural Basis of Speech Parsing in Children and Adults
Mcnealy, K., Mazziotta, J., & Dapretto, M. (2010) · Developmental Science · doi:10.1111/j.1467-7687.2009.00895.x · Cited by 68 · see citing works
Neural activity differs between explicit and implicit learning of artificial grammar strings: An fMRI study
Seger, C. A., Prabhakaran, V., Poldrack, R. A., & Gabrieli, J. D. E. (2000) · Psychobiology · doi:10.3758/bf03331987 · Cited by 66 · see citing works
Diagnosing Criterion-Level Effects on Memory
Vaughn, K. E., & Rawson, K. A. (2011) · Psychological Science · doi:10.1177/0956797611417724 · Cited by 65 · see citing works
The Neural Basis of Implicit Perceptual Sequence Learning
Gheysen, F., Filip Van Opstal, A., Roggeman, C., Waelvelde, H. V., & Fias, W. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00137 · Cited by 62 · see citing works
Neural prediction of higher-order auditory sequence statistics
Nicholas Furl, A., Kumar, S., Alter, K., Durrant, S. J., Shawe-Taylor, J. S., & Griffiths, T. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.038 · Cited by 61 · see citing works
Learning to Sample: Eye Tracking and fMRI Indices of Changes in Object Perception
Emberson, L. L., & Amso, D. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00259 · Cited by 60 · see citing works
Self-citation
Mutual Interference Between Statistical Summary Perception and Statistical Learning
Zhao, J., Ngo, N., McKendrick, R. D., & Turk‐Browne, N. B. (2011) · Psychological Science · doi:10.1177/0956797611419304 · Cited by 51 · see citing works
Putting the psychology back into psychological models: Mechanistic versus rational approaches
Sakamoto, Y., Jones, M., & Love, B. C. (2008) · Memory & Cognition · doi:10.3758/mc.36.6.1057 · Cited by 49 · see citing works
New semantic learning in patients with large medial temporal lobe lesions
Bayley, P. J., O’Reilly, R. C., Curran, T., & Squire, L. R. (2008) · Hippocampus · doi:10.1002/hipo.20417 · Cited by 45 · see citing works
Domain general change detection accounts for “dishabituation” effects in temporal–parietal regions in functional magnetic resonance imaging studies of speech perception
Zevin, J. D., Yang, J., Skipper, J. I., & McCandliss, B. D. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4599-09.2010 · Cited by 36 · see citing works
An evaluation of assumptions underlying the single-patient-only position in neuropsychological research: A reply
Zurif, E., Swinney, D., & Fodor, J. A. (1991) · Brain and Cognition · doi:10.1016/0278-2626(91)90006-t · Cited by 32 · see citing works
Cerebral activation related to implicit sequence learning in a Double Serial Reaction Time task
van der Graaf, F. H. C. E., Maguire, R. P., Leenders, K. L., & de Jong, B. M. (2006) · Brain Research · doi:10.1016/j.brainres.2006.01.103 · Cited by 32 · see citing works
Perceived object trajectories during occlusion constrain visual statistical learning
Fiser, J., Scholl, B., & Aslin, R. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194046 · Cited by 25 · see citing works
Self-citation
Statistical learning in a serial reaction time task: Simultaneous extraction of multiple statistics
Hunt, R., & Aslin, R. Ν. (2001) · Cited by 20 · see citing works
Self-citation
Clinical syndromes are not God's gift to cognitive neuropsychology: A reply to a rebuttal to an answer to a response to the case against syndrome-based research
Caramazza, A., & Badecker, W. (1991) · Brain and Cognition · doi:10.1016/0278-2626(91)90007-u · Cited by 19 · see citing works
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Background
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Authors: Karuza, E. A., Emberson, L. L., & Aslin, R. N.
Affiliations: University of Rochester (US)
Corresponding author: Karuza, Elisabeth A.
Emberson, Lauren L.
ORCID: Karuza, Elisabeth A.
Emberson, Lauren L.
Venue: Neurobiology of Learning and Memory
Publisher: Elsevier BV
Published: 2014-03
Volume: 109
Pages: 193-206
ISSN: 1074-7427 (ISSN-L)
DOI: 10.1016/j.nlm.2013.09.012
PMC: PMC3963805
OpenAlex: W2125816069
Cited by: 50
References: 95
Citations by year: 2026: 2 · 2025: 4 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 7 · 2020: 8 · 2019: 5 · 2018: 3 · 2017: 1 · 2016: 8 · 2015: 1 · 2012: 1
FWCI: 0.25
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Neurobiology of Learning and Memory (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Institutes of Health (1k99hd076166-01a1)
National Eye Institute (P30EY001319)
Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD-37082, K99 HD-076166, R01HD037082)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords: learning process, internal representations, neural mechanisms of learning
MeSH terms: Brain, Brain Mapping, Humans, Learning, Magnetic Resonance Imaging, Psychomotor Performance, Research Design

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