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  Pattern perception and computational complexity: Introduction to the special issue

Fitch, W. T., Friederici, A. D., & Hagoort, P. (2012). Pattern perception and computational complexity: Introduction to the special issue. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 367 (1598), 1925-1932. doi:10.1098/rstb.2012.0099.

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Fitch_Phil_Trn_R_Soc_B_2012.pdf (Verlagsversion), 397KB
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 Urheber:
Fitch , W. T.1, Autor
Friederici, Angela D.2, Autor
Hagoort, Peter3, 4, Autor           
Affiliations:
1Department of Cognitive Biology, University of Vienna, ou_persistent22              
2Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany , ou_persistent22              
3Donders Institute for Brain, Cognition and Behaviour, ou_55236              
4Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_792551              

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 Zusammenfassung: Research on pattern perception and rule learning, grounded in formal language theory (FLT) and using artificial grammar learning paradigms, has exploded in the last decade. This approach marries empirical research conducted by neuroscientists, psychologists and ethologists with the theory of computation and FLT, developed by mathematicians, linguists and computer scientists over the last century. Of particular current interest are comparative extensions of this work to non-human animals, and neuroscientific investigations using brain imaging techniques. We provide a short introduction to the history of these fields, and to some of the dominant hypotheses, to help contextualize these ongoing research programmes, and finally briefly introduce the papers in the current issue.

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Sprache(n): eng - English
 Datum: 20122012
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1098/rstb.2012.0099
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Titel: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
Genre der Quelle: Zeitschrift
 Urheber:
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Ort, Verlag, Ausgabe: London : Royal Society
Seiten: - Band / Heft: 367 (1598) Artikelnummer: - Start- / Endseite: 1925 - 1932 Identifikator: ISSN: 0962-8436
CoNE: https://pure.mpg.de/cone/journals/resource/963017382021_1