The role of prior knowledge in incremental associative learning: An empirical and computational approach
Tài liệu tham khảo
Alba, 1983, Is memory schematic?, Psychological Bulletin, 93, 203, 10.1037/0033-2909.93.2.203
Anderson, 1974, Retrieval of propositional information from long-term memory, Cognitive Psychology, 6, 451, 10.1016/0010-0285(74)90021-8
Anderson, 1983, A spreading activation theory of memory, Journal of Verbal Learning and Verbal Behavior, 22, 261, 10.1016/S0022-5371(83)90201-3
Atienza, 2011, Semantic congruence enhances memory of episodic associations: Role of theta oscillations, Journal of Cognitive Neuroscience, 23, 75, 10.1162/jocn.2009.21358
Bartlett, 1932, Remembering: A study in experimental and social psychology, British Journal of Educational Psychology
Batterink, 2015, Implicit and explicit contributions to statistical learning, Journal of Memory and Language, 83, 62, 10.1016/j.jml.2015.04.004
Bein, 2015, Delineating the effect of semantic congruency on episodic memory: The role of integration and relatedness, PLoS ONE, 10, 10.1371/journal.pone.0115624
Bein, 2014, Prior knowledge influences on hippocampus and medial prefrontal cortex interactions in subsequent memory, Neuropsychologia, 64, 320, 10.1016/j.neuropsychologia.2014.09.046
Bellezza, 1988, Expert knowledge as mnemonic cues, Applied Cognitive Psychology, 2, 147, 10.1002/acp.2350020206
Bentin, 2000, Structural encoding and identification in face processing: ERP evidence for separate mechanisms, Cognitive Neuropsychology, 17, 35, 10.1080/026432900380472
Biederman, 1982, Scene perception: Detecting and judging objects undergoing relational violations, Cognitive Psychology, 14, 143, 10.1016/0010-0285(82)90007-X
Biederman, 2006, Perceptual pleasure and the brain, American Scientist, 94, 247, 10.1511/2006.59.995
Bott, 2001
Bransford, 1972, Contextual prerequisites for understanding – Some investigations of comprehension and recall, Journal of Verbal Learning and Verbal Behavior, 11, 717, 10.1016/S0022-5371(72)80006-9
Chase, 1973, Perception in chess, Cognitive Psychology, 4, 55, 10.1016/0010-0285(73)90004-2
Chopra, 2005, Learning a similarity metric discriminatively, with application to face verification, IEEE Computer Vision and Pattern Recognition or CVPR, 539
Chun, 1999, Top-down attentional guidance based on implicit learning of visual covariation, Psychological Science, 10, 360, 10.1111/1467-9280.00168
Clapper, 2012, The effects of prior knowledge on incidental category learning, Journal of Experimental Psychology: Learning, Memory, and Cognition, 38, 1558
Craik, 1975, Depth of processing and retention of words in episodic memory, Journal of Experimental Psychology-General, 104, 268, 10.1037/0096-3445.104.3.268
Davachi, 2006, Item, context and relational episodic encoding in humans, Current Opinion in Neurobiology, 16, 693, 10.1016/j.conb.2006.10.012
Davachi, 2015, How the hippocampus preserves order: The role of prediction and context, Trends in Cognitive Sciences, 19, 92, 10.1016/j.tics.2014.12.004
Dayan, 2008, Reinforcement learning: The good, the bad and the ugly, Current Opinion in Neurobiology, 18, 185, 10.1016/j.conb.2008.08.003
DeWitt, 2012, The effects of prior knowledge on the encoding of episodic contextual details, Psychonomic Bulletin & Review, 19, 251, 10.3758/s13423-011-0196-4
Diana, 2006, The low-frequency encoding disadvantage: Word frequency affects processing demands, Journal of Experimental Psychology-Learning Memory and Cognition, 32, 805, 10.1037/0278-7393.32.4.805
Diana, 2007, Imaging recollection and familiarity in the medial temporal lobe: A three-component model, Trends in Cognitive Sciences, 11, 379, 10.1016/j.tics.2007.08.001
Dobbins, 2004, Cortical activity reductions during repetition priming can result from rapid response learning, Nature, 428, 316, 10.1038/nature02400
Duncan, 2012, Memory’s penumbra: Episodic memory decisions induce lingering mnemonic biases, Science, 337, 485, 10.1126/science.1221936
Düzel, 2010, Novelty-related motivation of anticipation and exploration by dopamine (NOMAD): Implications for healthy aging, Neuroscience and Biobehavioral Reviews, 34, 660, 10.1016/j.neubiorev.2009.08.006
Eichenbaum, 2007, The medial temporal lobe and recognition memory, Annual Review of Neuroscience, 30, 123, 10.1146/annurev.neuro.30.051606.094328
Erickson, 1998, Rules and exemplars in category learning, Journal of Experimental Psychology: General, 127, 107, 10.1037/0096-3445.127.2.107
Foerde, 2013, A role for the medial temporal lobe in feedback-driven learning: Evidence from amnesia, The Journal of Neuroscience, 33, 5698, 10.1523/JNEUROSCI.5217-12.2013
Frost, 2015, Domain generality versus modality specificity: The paradox of statistical learning, Trends in Cognitive Sciences, 19, 117, 10.1016/j.tics.2014.12.010
Gershman, 2010, Context, learning, and extinction, Psychological Review, 117, 197, 10.1037/a0017808
Ghosh, 2014, What is a memory schema? A historical perspective on current neuroscience literature, Neuropsychologia, 53, 104, 10.1016/j.neuropsychologia.2013.11.010
Gilboa, 2017, Neurobiology of schemas and schema-mediated memory, Trends in Cognitive Sciences, 21, 618-631, 10.1016/j.tics.2017.04.013
Green, 2016, SIMR: An R package for power analysis of generalized linear mixed models by simulation, Methods in Ecology and Evolution, 7, 493, 10.1111/2041-210X.12504
Greve, 2017, Does prediction error drive one-shot declarative learning?, Journal of Memory and Language, 94, 149, 10.1016/j.jml.2016.11.001
Gronau, 2015, Contextual consistency facilitates long-term memory of perceptual detail in barely seen images, Journal of Experimental Psychology. Human Perception and Performance, 41, 10.1037/xhp0000071
Heit, 2004, Modeling the effects of prior knowledge on learning incongruent features of category members, Journal of Experimental Psychology. Learning, Memory, and Cognition, 30, 1065, 10.1037/0278-7393.30.5.1065
Henson, 2014, Stimulus-response bindings in priming, Trends in Cognitive Sciences, 18, 376, 10.1016/j.tics.2014.03.004
Hoenig, 2001, The abuse of power: The pervasive fallacy of power calculations for data analysis, The American Statistician, 55, 19, 10.1198/000313001300339897
Holland, 2016, Mini-review: Prediction errors, attention and associative learning, Neurobiology of Learning and Memory, 131, 207, 10.1016/j.nlm.2016.02.014
Johnston, 2009, Familiar and unfamiliar face recognition: A review, Memory, 17, 577, 10.1080/09658210902976969
Johnston, 1990, Attention capture by novel stimuli, Journal of Experimental Psychology-General, 119, 397, 10.1037/0096-3445.119.4.397
Kahneman, 1972, Subjective probability: A judgment of representativeness, Cognitive Psychology, 3, 430, 10.1016/0010-0285(72)90016-3
Kaplan, 2000, Category learning with minimal prior knowledge, Journal of Experimental Psychology. Learning, Memory, and Cognition, 26, 829, 10.1037/0278-7393.26.4.829
Kaup, 2003, Effects of negation and situational presence on the accessibility of text information, Journal of Experimental Psychology: Learning Memory and Cognition, 29, 439
Knight, 1996, Contribution of human hippocampal region to novelty detection, Nature, 383, 256, 10.1038/383256a0
Kole, 2007, Using prior knowledge to minimize interference when learning large amounts of information, Memory & Cognition, 35, 124, 10.3758/BF03195949
Kole, 2011, Memory for details about people: Familiarity, relatedness, and gender congruency, Memory & Cognition, 39, 637, 10.3758/s13421-010-0051-2
Kumaran, 2016, What learning systems do intelligent agents need? Complementary learning systems theory updated, Trends in Cognitive Sciences, 20, 512, 10.1016/j.tics.2016.05.004
Leutgeb, 2007, Pattern separation in the dentate gyrus and CA3 of the hippocampus, Science, 315, 961, 10.1126/science.1135801
Liu, 2016, Effects of prior-knowledge on brain activation and connectivity during associative memory encoding, Cerebral Cortex, 1
Logan, 1990, Repetition priming and automaticity: Common underlying mechanisms?, Cognitive Psychology, 22, 1, 10.1016/0010-0285(90)90002-L
Maddox, 2004, Dissociating explicit and procedural-learning based systems of perceptual category learning, Behavioural Processes, 66, 309, 10.1016/j.beproc.2004.03.011
Maril, 2011, Event congruency and episodic encoding: A developmental fMRI study, Neuropsychologia, 49, 3036, 10.1016/j.neuropsychologia.2011.07.004
Mayo, 2014, If you negate, you may forget: Negated repetitions impair memory compared with affirmative repetitions, Journal of Experimental Psychology: General, 143, 1541, 10.1037/a0036122
McClelland, 2013, Incorporating rapid neocortical learning of new schema-consistent information into complementary learning systems theory, Journal of Experimental Psychology-General, 142, 1190, 10.1037/a0033812
McClelland, 1995, Why there are complementary learning-systems in the hippocampus and neocortex – Insights from the success and failures of connectionist models of learning and memory, Psychological Review, 102, 419, 10.1037/0033-295X.102.3.419
Mueller, 2006, REM II: A model of the developmental co-evolution of episodic memory and semantic knowledge
Murphy, 2002, Knowledge effects, 141
Murphy, 1994, The locus of knowledge effects in concept learning, Journal of Experimental Psychology. Learning, Memory, and Cognition, 20, 904, 10.1037/0278-7393.20.4.904
Natu, 2011, The neural processing of familiar and unfamiliar faces: A review and synopsis, British Journal of Psychology, 102, 726, 10.1111/j.2044-8295.2011.02053.x
Nelson, 1998, Interpreting the influence of implicitly activated memories on recall and recognition, Psychological Review, 105, 299, 10.1037/0033-295X.105.2.299
Nelson, 2013, The co-evolution of knowledge and event memory, Psychological Review, 120, 356, 10.1037/a0032020
Neumann, 2008, N250r and N400 ERP correlates of immediate famous face repetition are independent of perceptual load, Brain Research, 1239, 181, 10.1016/j.brainres.2008.08.039
Norman, 2003, Modeling hippocampal and neocortical contributions to recognition memory: A complementary-learning-systems approach, Psychological Review, 110, 611, 10.1037/0033-295X.110.4.611
O’Keefe, 2007, Brief report: Post hoc power, observed power, a priori power, retrospective power, prospective power, achieved power: Sorting out appropriate uses of statistical power analyses, Communication Methods and Measures, 1, 291, 10.1080/19312450701641375
O’Reilly, 2001, Conjunctive representations in learning and memory: Principles of cortical and hippocampal function, Psychological Review, 108, 83
Paszke, A., Chanan, G., Lin, Z., Gross, S., Yang, E., Antiga, L., & Devito, Z. (2017). Automatic differentiation in PyTorch, (Nips).
Packard, 1996, Inactivation of hippocampus or caudate nucleus with lidocaine differentially affects expression of place and response learning, Neurobiology of Learnin and Memory, 72, 65, 10.1006/nlme.1996.0007
Peelen, 2012, Conceptual object representations in human anterior temporal cortex, Journal of Neuroscience, 32, 15728, 10.1523/JNEUROSCI.1953-12.2012
Preston, 2013, Interplay of hippocampus and prefrontal cortex in memory, Current Biology: CB, 23, R764, 10.1016/j.cub.2013.05.041
Ratcliff, 1993, Methods for dealing with reaction-time, Psychological Bulletin, 114, 510, 10.1037/0033-2909.114.3.510
Rawson, 2008, How does knowledge promote memory? The distinctiveness theory of skilled memory, Journal of Memory and Language, 58, 646, 10.1016/j.jml.2007.08.004
Reber, 2013, The neural basis of implicit learning and memory: A review of neuropsychological and neuroimaging research, Neuropsychologia, 51, 2026, 10.1016/j.neuropsychologia.2013.06.019
Reber, 1998, Encapsulation of implicit and explicit memory in sequence learning, Journal of Cognitive Neuroscience, 10, 248, 10.1162/089892998562681
Reder, 2015, Building knowledge requires bricks, not sand: The critical role of familiar constituents in learning, Psychonomic Bulletin & Review, 2006, 1
Reder, 2000, A mechanistic account of the mirror effect for word frequency: A computational model of remember-know judgments in a continuous recognition paradigm, Journal of Experimental Psychology-Learning Memory and Cognition, 26, 294, 10.1037/0278-7393.26.2.294
Reder, 2007, Experience is a double-edged sword: A computational model of the encoding/retrieval trade-off with familiarity, The Psychology of Learning and Motivation, 48, 271, 10.1016/S0079-7421(07)48007-0
Reder, 2013, Why it’s easier to remember seeing a face we already know than one we don’t: Preexisting memory representations facilitate memory formation, Psychological Science, 24, 363, 10.1177/0956797612457396
Rehder, 2003, A knowledge-resonance (KRES) model of category learning, Psychonomic Bulletin & Review, 10, 759, 10.3758/BF03196543
Rescorla, 1972, A theory of Pavlovian conditioning, Classical Conditioning II Current Research and Theory
Saffran, 1996, Statistical learning by 8-month-old infants, Science, 274, 1926, 10.1126/science.274.5294.1926
Schacter, 2004, Specificity of priming: A cognitive neuroscience perspective, Nature Reviews. Neuroscience, 5, 853, 10.1038/nrn1534
Schapiro, 2012, Shaping of object representations in the human medial temporal lobe based on temporal regularities, Current Biology, 22, 1622, 10.1016/j.cub.2012.06.056
Schapiro, 2013, Neural representations of events arise from temporal community structure, Nature Neuroscience, 16, 486, 10.1038/nn.3331
Schapiro, 2017, Complementary learning systems within the hippocampus: A neural network modelling approach to reconciling episodic memory with statistical learning, Philosophical Transactions of the Royal Society B: Biological Sciences, 372, 20160049, 10.1098/rstb.2016.0049
Schlichting, 2015, Memory integration: Neural mechanisms and implications for behavior, Current Opinion in Behavioral Sciences, 1, 1, 10.1016/j.cobeha.2014.07.005
Schmidhuber, 2015, Deep Learning in neural networks: An overview, Neural Networks, 61, 85, 10.1016/j.neunet.2014.09.003
Schomaker, 2015, Short- and long-lasting consequences of novelty, deviance and surprise on brain and cognition, Neuroscience and Biobehavioral Reviews, 55, 268, 10.1016/j.neubiorev.2015.05.002
Schulman, 1974, Memory for words recently classified, Memory & Cognition, 2, 47, 10.3758/BF03197491
Smith, 2013, The context repetition effect: Predicted events are remembered better, even when they don’t happen, Journal of Experimental Psychology. General, 142, 1298, 10.1037/a0034067
Squire, 2004, Memory systems of the brain: A brief history and current perspective, Neurobiology of Learning and Memory, 82, 171, 10.1016/j.nlm.2004.06.005
Tacikowski, 2011, How multiple repetitions influence the processing of self-, famous and unknown names and faces: An ERP study, International Journal of Psychophysiology, 79, 219, 10.1016/j.ijpsycho.2010.10.010
Thierry, 2007, Controlling for interstimulus perceptual variance abolishes N170 face selectivity, Nature Neuroscience, 10, 505, 10.1038/nn1864
Tse, 2007, Schemas and memory consolidation, Science, 316, 76, 10.1126/science.1135935
Tse, 2011, Schema-dependent gene activation and memory encoding in neocortex, Science, 333, 891, 10.1126/science.1205274
Tulving, 2002, Episodic memory: From mind to brain, Annual Review of Psychology, 53, 1, 10.1146/annurev.psych.53.100901.135114
Tulving, 1995, Novelty assessment in the brain and long-term memory encoding, Psychonomic Bulletin & Review, 2, 387, 10.3758/BF03210977
Tulving, 1990, Priming and Human Memory Systems, Science, 247, 302, 10.1126/science.2296719
Turk-Browne, 2005, The automaticity of visual statistical learning, Journal of Experimental Psychology. General, 134, 552, 10.1037/0096-3445.134.4.552
van Kesteren, 2012, How schema and novelty augment memory formation, Trends in Neurosciences, 35, 211, 10.1016/j.tins.2012.02.001
Van Overschelde, 2001, Learning of nondomain facts in high- and low-knowledge domains, Journal of Experimental Psychology-Learning Memory and Cognition, 27, 1160, 10.1037/0278-7393.27.5.1160
Vandeberg, 2012, Out of mind, out of sight: Language affects perceptual vividness in memory, PLoS ONE, 7, 10.1371/journal.pone.0036154
Westfall, J. (2015). PANGEA: Power analysis for general anova designs.Unpublished manuscript. Available at <http://jakewestfall. org/publications/pangea>.
Wimmer, 2014, Episodic memory encoding interferes with reward learning and decreases striatal prediction errors, The Journal of Neuroscience, 34, 14901, 10.1523/JNEUROSCI.0204-14.2014
Yang, 2004, Universal Grammar, statistics or both?, Trends in Cognitive Sciences, 8, 451, 10.1016/j.tics.2004.08.006
Yassa, 2011, Pattern separation in the hippocampus, Trends in Neurosciences, 34, 515, 10.1016/j.tins.2011.06.006
Zajonc, 2001, Mere exposure: A gateway to the subliminal, Current Directions in Psychological Science, 10, 224, 10.1111/1467-8721.00154
Zhang, 2000, Neural networks for classification: A survey, IEEE Transactions on Systems, Man and Cybernetics, 30, 451, 10.1109/5326.897072
Zhao, 2013, Attention is spontanesouly biased toward regularities, Psychological Science, 24, 667, 10.1177/0956797612460407
Ziori, 2008, How does prior knowledge affect implicit and explicit concept learning?, Quarterly Journal of Experimental Psychology (2006), 61, 601, 10.1080/17470210701255374
Ziori, 2012, The time course of implicit and explicit concept learning, Consciousness and Cognition, 21, 204, 10.1016/j.concog.2011.12.008