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1
Songbirds work around computational complexity by learning song vocabulary independently of sequence
In: Nature Communications, 8 (1) (2017)
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Songbirds work around computational complexity by learning song vocabulary independently of sequence ...
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3
Songbirds work around computational complexity by learning song vocabulary independently of sequence
Lipkind, Dina; Zai, Anja T.; Hanuschkin, Alexander. - : Nature Publishing Group UK, 2017
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4
Songbirds work around computational complexity by learning song vocabulary independently of sequence
In: Nature communications. - 8, 1 (2017) , ISSN: 2041-1723 (2017)
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5
Songbirds work around computational complexity by learning song vocabulary independently of sequence
In: Lipkind, Dina; Zai, Anja T; Hanuschkin, Alexander; Marcus, Gary F; Tchernichovski, Ofer; Hahnloser, Richard H R (2017). Songbirds work around computational complexity by learning song vocabulary independently of sequence. Nature Communications, 8:1247. (2017)
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6
Stepwise acquisition of vocal combinatorial capacity in songbirds and human infants
Lipkind, Dina; Sasahara, Kazutoshi; Takahasi, Miki. - : Nature Publishing, 2013
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7
Infant Rule Learning: Advantage Language, or Advantage Speech?
Rabagliati, Hugh; Senghas, Ann; Johnson, Scott. - : Public Library of Science, 2012
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8
The Role of Association in Early Word-Learning
Marcus, Gary F.; Fernandes, Keith J.; Johnson, Scott P.. - : Frontiers Research Foundation, 2012
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9
Shifting senses in lexical semantic development
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10
Evolution, Perfection, and Theories of Language
In: BIOLINGUISTICS; Vol. 3 No. 2-3 (2009); 186-212 ; 1450-3417 (2009)
Abstract: In this article it is argued that evolutionary plausibility must be made an important constraining factor when building theories of language. Recent suggestions that presume that language is necessarily a perfect or optimal system are at odds with this position, evolutionary theory showing us that evolution is a meliorizing agent often producing imperfect solutions. Perfection of the linguistic system is something that must be demonstrated, rather than presumed. Empirically, examples of imperfection are found not only in nature and in human cognition, but also in language — in the form of ambiguity, redundancy, irregularity, movement, locality conditions, and extra-grammatical idioms. Here it is argued that language is neither perfect nor optimal, and shown how theories of language which place these proper-ties at their core run into both conceptual and empirical problems.
Keyword: economy; evolutionary inertia; Linguistics; Minimalist Program; optimality; perfection
URL: http://www.biolinguistics.eu/index.php/biolinguistics/article/view/87
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11
FOXP2 in focus : what can genes tell us about speech and language?
In: Trends in cognitive sciences. - Amsterdam [u.a.] : Elsevier Science 7 (2003) 6, 257-262
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12
The algebraic mind : integrating connectionism and cognitive science electronic resource
Marcus, Gary F.. - Cambridge, Massachusetts : MIT Press, 2001, [2001]©2001
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13
Reply to Christiansen and Curtin
In: Trends in cognitive sciences. - Amsterdam [u.a.] : Elsevier Science 3 (1999) 8, 290-291
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14
Connectionism : with or without rules? Response to J. L. McClelland and D.C. Plant (1999)
In: Trends in cognitive sciences. - Amsterdam [u.a.] : Elsevier Science 3 (1999) 5, 168-170
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15
Reply to Seidenberg and Elmans
In: Trends in cognitive sciences. - Amsterdam [u.a.] : Elsevier Science 3 (1999) 8, 289
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16
On Rules and Exceptions: An Investigation of Inflectional Morphology.
In: DTIC AND NTIS (1993)
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17
Overregularization
In: DTIC AND NTIS (1990)
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