Process reveals structure: How a network is traversed mediates expectations about its architecture
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Danielle S Bassett | Ari E Kahn | Elisabeth A Karuza | Ari E. Kahn | Elisabeth A. Karuza | Sharon L Thompson-Schill | D. Bassett | S. Thompson-Schill | A. Kahn | E. A. Karuza
[1] John Hale,et al. A Probabilistic Earley Parser as a Psycholinguistic Model , 2001, NAACL.
[2] Zenzi M. Griffin,et al. The persistence of structural priming: transient activation or implicit learning? , 2000, Journal of experimental psychology. General.
[3] T. Florian Jaeger,et al. Redundancy and reduction: Speakers manage syntactic information density , 2010, Cognitive Psychology.
[4] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[5] Denis Mareschal,et al. TRACX: a recognition-based connectionist framework for sequence segmentation and chunk extraction. , 2011, Psychological review.
[6] R. Aslin,et al. Statistical learning of higher-order temporal structure from visual shape sequences. , 2002, Journal of experimental psychology. Learning, memory, and cognition.
[7] Maryellen C. MacDonald,et al. How language production shapes language form and comprehension , 2012, Front. Psychol..
[8] V. D. P. Servedio,et al. Optimal Learning Paths in Information Networks , 2015, Scientific Reports.
[9] R. Aslin,et al. Learning bundles of stimuli renders stimulus order as a cue, not a confound , 2014, Proceedings of the National Academy of Sciences.
[10] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[11] Michael S. Vitevitch,et al. The influence of clustering coefficient on word-learning: how groups of similar sounding words facilitate acquisition , 2014, Front. Psychol..
[12] Elisabeth A. Karuza,et al. On-line Measures of Prediction in a Self-Paced Statistical Learning Task , 2014, CogSci.
[13] B. Scholl,et al. The Automaticity of Visual Statistical Learning Statistical Learning , 2005 .
[14] D Broadbent,et al. Implicit and explicit knowledge bases in artificial grammar learning. , 1991, Journal of experimental psychology. Learning, memory, and cognition.
[15] M E J Newman,et al. Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[16] James L. McClelland,et al. Learning the structure of event sequences. , 1991, Journal of experimental psychology. General.
[17] Shekeila D Palmer,et al. Speech segmentation by statistical learning is supported by domain-general processes within working memory , 2016, Quarterly journal of experimental psychology.
[18] Jonas Larsson,et al. fMRI repetition suppression: neuronal adaptation or stimulus expectation? , 2012, Cerebral cortex.
[19] James L. McClelland,et al. Parallel Distributed Processing: Explorations in the Microstructure of Cognition : Psychological and Biological Models , 1986 .
[20] L. Squire,et al. Artificial grammar learning depends on implicit acquisition of both abstract and exemplar-specific information. , 1996, Journal of experimental psychology. Learning, memory, and cognition.
[21] Sharon L. Thompson-Schill,et al. Local Patterns to Global Architectures: Influences of Network Topology on Human Learning Relating Two Approaches Complex Networks Are Pervasive Network Topology Influences Learning and Memory Local Statistics Underpin Network Architecture , 2022 .
[22] Zenzi M. Griffin,et al. Structural Priming as Implicit Learning: A Comparison of Models of Sentence Production , 2000, Journal of psycholinguistic research.
[23] Thomas T. Hills,et al. Feature Biases in Early Word Learning: Network Distinctiveness Predicts Age of Acquisition. , 2017, Cognitive science.
[24] E Tulving,et al. Priming and human memory systems. , 1990, Science.
[25] M. Botvinick,et al. Neural representations of events arise from temporal community structure , 2013, Nature Neuroscience.
[26] A. Reber. Implicit learning of artificial grammars , 1967 .
[27] R. Levy. Expectation-based syntactic comprehension , 2008, Cognition.
[28] O. Sporns,et al. Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.
[29] Charles Kemp,et al. Bayesian models of cognition , 2008 .
[30] Joshua T. Abbott,et al. Random walks on semantic networks can resemble optimal foraging. , 2015, Psychological review.
[31] Alex B. Fine,et al. Evidence for Implicit Learning in Syntactic Comprehension , 2013, Cogn. Sci..
[32] Thomas T. Hills,et al. Optimal foraging in semantic memory. , 2012, Psychological review.
[33] R N Aslin,et al. Statistical Learning by 8-Month-Old Infants , 1996, Science.
[34] Haitao Liu,et al. Approaching human language with complex networks. , 2014, Physics of life reviews.
[35] Marvin M. Chun,et al. Neural Evidence of Statistical Learning: Efficient Detection of Visual Regularities Without Awareness , 2009, Journal of Cognitive Neuroscience.
[36] D. Bates,et al. Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.
[37] Todd M. Gureckis,et al. CUNY Academic , 2016 .
[38] Danielle S Bassett,et al. Learning-induced autonomy of sensorimotor systems , 2014, Nature Neuroscience.
[39] M. Nissen,et al. Attentional requirements of learning: Evidence from performance measures , 1987, Cognitive Psychology.
[40] Danielle S. Bassett,et al. Cognitive Network Neuroscience , 2015, Journal of Cognitive Neuroscience.