Literature DB >> 15377127

Précis of Foundations of language: brain, meaning, grammar, evolution.

Ray Jackendoff1.   

Abstract

The goal of this study is to reintegrate the theory of generative grammar into the cognitive sciences. Generative grammar was right to focus on the child's acquisition of language as its central problem, leading to the hypothesis of an innate Universal Grammar. However, generative grammar was mistaken in assuming that the syntactic component is the sole course of combinatoriality, and that everything else is "interpretive." The proper approach is a parallel architecture, in which phonology, syntax, and semantics are autonomous generative systems linked by interface components. The parallel architecture leads to an integration within linguistics, and to a far better integration with the rest of cognitive neuroscience. It fits naturally into the larger architecture of the mind/brain and permits a properly mentalistic theory of semantics. It results in a view of linguistic performance in which the rules of grammar are directly involved in processing. Finally, it leads to a natural account of the incremental evolution of the language capacity.

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Mesh:

Year:  2003        PMID: 15377127     DOI: 10.1017/s0140525x03000153

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  50 in total

Review 1.  A rostro-caudal gradient of structured sequence processing in the left inferior frontal gyrus.

Authors:  Julia Uddén; Jörg Bahlmann
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-07-19       Impact factor: 6.237

2.  Effects of event knowledge in processing verbal arguments.

Authors:  Klinton Bicknell; Jeffrey L Elman; Mary Hare; Ken McRae; Marta Kutas
Journal:  J Mem Lang       Date:  2010-11-01       Impact factor: 3.059

Review 3.  The mirror brain, concepts, and language: the price of anthropogenesis.

Authors:  T V Chernigovskaya
Journal:  Neurosci Behav Physiol       Date:  2007-03

Review 4.  Beyond the sentence given.

Authors:  Peter Hagoort; Jos van Berkum
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-05-29       Impact factor: 6.237

5.  A psycholinguistic model of natural language parsing implemented in simulated neurons.

Authors:  Christian R Huyck
Journal:  Cogn Neurodyn       Date:  2009-03-20       Impact factor: 5.082

6.  Contributions of Sign Language Research to Gesture Understanding: What can Multimodal Computational Systems Learn from Sign Language Research.

Authors:  Ronnie B Wilbur; Evguenia Malaia
Journal:  Int J Semant Comput       Date:  2008

7.  Multiple Influences of Semantic Memory on Sentence Processing: Distinct Effects of Semantic Relatedness on Violations of Real-World Event/State Knowledge and Animacy Selection Restrictions.

Authors:  Martin Paczynski; Gina R Kuperberg
Journal:  J Mem Lang       Date:  2012-09-06       Impact factor: 3.059

8.  Lexical and syntactic representations in the brain: an fMRI investigation with multi-voxel pattern analyses.

Authors:  Evelina Fedorenko; Alfonso Nieto-Castañon; Nancy Kanwisher
Journal:  Neuropsychologia       Date:  2011-09-17       Impact factor: 3.139

9.  (Pea)nuts and bolts of visual narrative: structure and meaning in sequential image comprehension.

Authors:  Neil Cohn; Martin Paczynski; Ray Jackendoff; Phillip J Holcomb; Gina R Kuperberg
Journal:  Cogn Psychol       Date:  2012-03-02       Impact factor: 3.468

10.  Linking language with embodied and teleological representations of action for humanoid cognition.

Authors:  Stephane Lallee; Carol Madden; Michel Hoen; Peter Ford Dominey
Journal:  Front Neurorobot       Date:  2010-06-03       Impact factor: 2.650

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