The role of salience in the extraction of algebraic rules.
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[1] Mark S. Seidenberg,et al. Language Acquisition and Use: Learning and Applying Probabilistic Constraints , 1997, Science.
[2] G. Altmann. Learning and development in neural networks – the importance of prior experience , 2002, Cognition.
[3] Edward E. Smith,et al. An Invitation to cognitive science , 1997 .
[4] H. Ebbinghaus. Memory A Contribution Toexperimental Psychology , 1913 .
[5] R. Schvaneveldt,et al. The basis of transfer in artificial grammar learning , 2000, Memory & cognition.
[6] E. Newport,et al. WORD SEGMENTATION : THE ROLE OF DISTRIBUTIONAL CUES , 1996 .
[7] Noam Chomsky,et al. Rules and Representations , 1982 .
[8] Colin Blakemore,et al. Vision: Coding and Efficiency , 1991 .
[9] L. Leonard,et al. Some differences between English plural noun inflections and third singular verb inflections in the input: the contributions of frequency, sentence position, and duration , 1999, Journal of Child Language.
[10] Philipp Slusallek,et al. Introduction to real-time ray tracing , 2005, SIGGRAPH Courses.
[11] John R. Anderson,et al. A Theory of the Origins of Human Knowledge , 1989, Artif. Intell..
[12] Geoffrey E. Hinton,et al. Parallel Models of Associative Memory , 1989 .
[13] M. Hauser,et al. Segmentation of the speech stream in a non-human primate: statistical learning in cotton-top tamarins , 2001, Cognition.
[14] S. Gillis,et al. Root infinitives in Dutch early child language: an effect of input? , 2001, Journal of Child Language.
[15] John R. Anderson,et al. Rules of the Mind , 1993 .
[16] James L. Morgan,et al. Signal to syntax : bootstrapping from speech to grammar in early acquisition , 1996 .
[17] E Bizzi,et al. Motor learning through the combination of primitives. , 2000, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[18] Alan S. Prince,et al. Generalized alignment , 1993 .
[19] V. Ramachandran. Vision: Interactions between motion, depth, color and form: the utilitarian theory of perception , 1991 .
[20] E. Bizzi,et al. The Cognitive Neurosciences , 1996 .
[21] Mark S. Seidenberg,et al. Impairments in verb morphology after brain injury: a connectionist model. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[22] Elizabeth K. Johnson,et al. Statistical learning of tone sequences by human infants and adults , 1999, Cognition.
[23] Gary F. Marcus,et al. Reply to Christiansen and Curtin , 1999, Trends in Cognitive Sciences.
[24] C. Gallistel,et al. Time, rate, and conditioning. , 2000, Psychological review.
[25] Thomas R. Shultz,et al. Neural Network Simulation of Infant Familiarization to Artificial Sentences: Rule-Like Behavior Without Explicit Rules and Variables. , 2001, Infancy : the official journal of the International Society on Infant Studies.
[26] John J. McCarthy,et al. Formal Problems in Semitic Phonology and Morphology , 2018 .
[27] F. Ramus,et al. Language discrimination by human newborns and by cotton-top tamarin monkeys. , 2000, Science.
[28] R. Aslin,et al. Unsupervised Statistical Learning of Higher-Order Spatial Structures from Visual Scenes , 2001, Psychological science.
[29] Zenon W. Pylyshyn,et al. Connectionism and cognitive architecture: A critical analysis , 1988, Cognition.
[30] Alex M. Andrew,et al. Computation and Cognition: Towards A Foundation for Cognitive Science, by Zenon W. Pylyshyn, MIT Press, Cambridge, Mass., xxiii + 292 pp., £26.15 , 1985, Robotica.
[31] Thierry Dutoit,et al. The MBROLA project: towards a set of high quality speech synthesizers free of use for non commercial purposes , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.
[32] Marina Nespor,et al. Signal-Driven Computations in Speech Processing , 2002, Science.
[33] G. Marcus. The Algebraic Mind: Integrating Connectionism and Cognitive Science , 2001 .
[34] Kenneth Aizawa,et al. Jeffrey L. Elman, Elizabeth A. Bates, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, and Kim Plunkett, (eds.), Rethinking Innateness: A Connectionist Perspective on Development, Neural Network Modeling and Connectionism Series and Kim Plunkett and Jeffrey L. Elman, Exercises in Rethinkin , 1999, Minds and Machines.
[35] G. Marcus. Rethinking Eliminative Connectionism , 1998, Cognitive Psychology.
[36] P. Todd,et al. Simple Heuristics That Make Us Smart , 1999 .
[37] D. Plaut,et al. Does generalization in infant learning implicate abstract algebra-like rules? , 1999, Trends in Cognitive Sciences.
[38] S. Pinker,et al. On language and connectionism: Analysis of a parallel distributed processing model of language acquisition , 1988, Cognition.
[39] H. Gleitman,et al. Mother, Id rather do it myself: Some effects and non-effects of maternal speech style , 1977 .
[40] Allen Newell,et al. Computer science as empirical inquiry: symbols and search , 1976, CACM.
[41] P R Killeen,et al. Japanese quail can learn phonetic categories. , 1987, Science.
[42] John P. Pinto,et al. Rapid Gains in Speed of Verbal Processing by Infants in the 2nd Year , 1998 .
[43] Allen Newell,et al. Physical Symbol Systems , 1980, Cogn. Sci..
[44] 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.
[45] N. Chater,et al. Proceedings of the fourteenth annual conference of the cognitive science society , 1992 .
[46] M. Raijmakers. Rethinking innateness: A connectionist perspective on development. , 1997 .
[47] M. Gasser,et al. Babies, Variables, and Relational Correlations , 2000 .
[48] E. Newport,et al. Computation of Conditional Probability Statistics by 8-Month-Old Infants , 1998 .
[49] Z. Dienes,et al. Rule learning by seven-month-old infants and neural networks , 1999 .
[50] J. Fodor. The Modularity of mind. An essay on faculty psychology , 1986 .
[51] Geert Booij,et al. Yearbook of Morphology 1993 , 1993 .
[52] J. Elman,et al. Learning Rediscovered , 1996, Science.
[53] E. Bizzi,et al. Linear combinations of primitives in vertebrate motor control. , 1994, Proceedings of the National Academy of Sciences of the United States of America.
[54] Reza Shadmehr,et al. Learning of action through adaptive combination of motor primitives , 2000, Nature.
[55] Morten H. Christiansen,et al. Transfer of learning: rule acquisition or statistical learning? , 1999, Trends in Cognitive Sciences.
[56] Gary F. Marcus,et al. Reply to Seidenberg and Elman , 1999, Trends in Cognitive Sciences.
[57] James L. McClelland,et al. Connectionism : with or without rules ? Response to , 2022 .
[58] N. Hogan,et al. Quantization of continuous arm movements in humans with brain injury. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[59] Peter M. Vishton,et al. Rule learning by seven-month-old infants. , 1999, Science.
[60] Maja J. Mataric,et al. Automated Derivation of Primitives for Movement Classification , 2000, Auton. Robots.
[61] R. Gómez,et al. Artificial grammar learning by 1-year-olds leads to specific and abstract knowledge , 1999, Cognition.
[62] I. Biederman. Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.
[63] M. Hauser,et al. Learning at a distance II. Statistical learning of non-adjacent dependencies in a non-human primate , 2004, Cognitive Psychology.
[64] Janet B. Pierrehumbert,et al. Similarity Avoidance and the OCP , 2004 .
[65] C. Gallistel. The organization of learning , 1990 .
[66] K. Nelson,et al. Mothers' speech to children and syntactic development: some simple relationships , 1979, Journal of Child Language.
[67] C. Gallistel. The Replacement of General-Purpose Learning Models with Adaptively Specialized Learning Modules , 2000 .
[68] D. Ingram,et al. Early syntactic acquisition in German: Evidence for the modal hypothesis , 1996 .
[69] H. Gleitman,et al. The current status of the motherese hypothesis , 1984, Journal of Child Language.
[70] J. Elman,et al. Networks are not ‘hidden rules’ , 1999, Trends in Cognitive Sciences.
[71] Laurie Hendren,et al. The abc Group , 2004 .
[72] Ghislaine Dehaene-Lambertz,et al. Perceptual constraints and the learnability of simple grammars , 2007, Cognition.
[73] Charles D. Yang. Universal Grammar, statistics or both? , 2004, Trends in Cognitive Sciences.
[74] E. Newport,et al. Learning at a distance I. Statistical learning of non-adjacent dependencies , 2004, Cognitive Psychology.
[75] G. Marcus. Can connectionism save constructivism? , 1998, Cognition.
[76] R. Gómez,et al. Infant artificial language learning and language acquisition , 2000, Trends in Cognitive Sciences.
[77] R. Tunney,et al. Two modes of transfer in artificial grammar learning. , 2001, Journal of experimental psychology. Learning, memory, and cognition.
[78] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[79] R J Gillies,et al. Angiostatin's partners. , 1999, Science.
[80] A. Lotto,et al. Perceptual compensation for coarticulation by Japanese quail (Coturnix coturnix japonica). , 1997, The Journal of the Acoustical Society of America.
[81] C. Gallistel,et al. The Symbolic Foundations of Conditioned Behavior , 2002 .
[82] Jerome A. Feldman,et al. Connectionist Models and Their Properties , 1982, Cogn. Sci..
[83] CYRIL BURT. A Theory of Human Knowledge , 1970, Nature.
[84] R N Aslin,et al. Statistical Learning by 8-Month-Old Infants , 1996, Science.
[85] Padraic Monaghan,et al. Proceedings of the 23rd annual conference of the cognitive science society , 2001 .
[86] Jill Fain Lehman,et al. A Gentle Introduction to Soar, an Architecture for Human Cognition. , 1996 .
[87] Morten H. Christiansen,et al. A Connectionist Single-Mechanism Account of Rule-Like Behavior in Infancy , 2000 .
[88] Gary F. Marcus,et al. Rule Learning by Seven-Month-Old Infants and Neural Networks , 1999, Science.