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1
Implicit acquisition of grammars with crossed and nested non-adjacent dependencies: investigating the push-down stack model
In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 36 (2012) 6, 1078-1101
BLLDB
OLC Linguistik
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2
Conflict monitoring in speech production: physiological evidence from bilingual picture naming
In: Brain & language. - Orlando, Fla. [u.a.] : Elsevier 123 (2012) 2, 131-136
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OLC Linguistik
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3
The neuronal infrastructure of speaking
In: Brain & language. - Orlando, Fla. [u.a.] : Elsevier 122 (2012) 2, 71-80
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OLC Linguistik
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4
What artificial grammar learning reveals about the neurobiology of syntax
In: Brain & language. - Orlando, Fla. [u.a.] : Elsevier 120 (2012) 2, 83-95
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5
The Structural Connectivity Underpinning Language Aptitude, Working Memory, and IQ in the Perisylvian Language Network
In: Language learning. - Hoboken, NJ : Wiley 62 (2012) 2, 110-130
OLC Linguistik
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6
Exploring the cognitive infrastructure of communication
In: Experimental semiotics (Amsterdam, 2012), p. 51-78
MPI für Psycholinguistik
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7
The processing consequences of compositionality
In: The Oxford handbook of compositionality (New York, 2012), p. 655-672
MPI für Psycholinguistik
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8
Individual Variation in the Late Positive Complex to Semantic Anomalies
Kos, Miriam; van den Brink, Danielle; Hagoort, Peter. - : Frontiers Research Foundation, 2012
BASE
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9
Information Structure Influences Depth of Syntactic Processing: Event-Related Potential Evidence for the Chomsky Illusion
Wang, Lin; Bastiaansen, Marcel; Yang, Yufang. - : Public Library of Science, 2012
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10
Shared Syntax in Language Production and Language Comprehension—An fMRI Study
Segaert, Katrien; Menenti, Laura; Weber, Kirsten. - : Oxford University Press, 2012
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11
Empathy matters: ERP evidence for inter-individual differences in social language processing
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12
Pragmatics in action : indirect requests engage theory of mind areas and the cortical motor network
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13
The neurobiology of syntax: beyond string sets
Hagoort, Peter; Petersson, Karl Magnus. - : Royal Soc, 2012
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14
Implicit acquisition of grammars with crossed and nested non-adjacent dependencies: investigating the push-down stack model
Udden, Julia; Ingvar, Martin; Hagoort, Peter. - : Wiley-Blackwell, 2012
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15
What artificial grammar learning reveals about the neurobiology of syntax
Karl Magnus Petersson; Folia, Vasiliki; Hagoort, Peter. - : Academic Press Inc Elsevier Science, 2012
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16
From Reference to Sense: How the Brain Encodes Meaning for Speaking
Menenti, Laura; Petersson, Karl Magnus; Hagoort, Peter. - : Frontiers Research Foundation, 2012
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17
Pattern perception and computational complexity: introduction to the special issue
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18
The neurobiology of syntax: beyond string sets
Petersson, Karl Magnus; Hagoort, Peter. - : The Royal Society, 2012
Abstract: The human capacity to acquire language is an outstanding scientific challenge to understand. Somehow our language capacities arise from the way the human brain processes, develops and learns in interaction with its environment. To set the stage, we begin with a summary of what is known about the neural organization of language and what our artificial grammar learning (AGL) studies have revealed. We then review the Chomsky hierarchy in the context of the theory of computation and formal learning theory. Finally, we outline a neurobiological model of language acquisition and processing based on an adaptive, recurrent, spiking network architecture. This architecture implements an asynchronous, event-driven, parallel system for recursive processing. We conclude that the brain represents grammars (or more precisely, the parser/generator) in its connectivity, and its ability for syntax is based on neurobiological infrastructure for structured sequence processing. The acquisition of this ability is accounted for in an adaptive dynamical systems framework. Artificial language learning (ALL) paradigms might be used to study the acquisition process within such a framework, as well as the processing properties of the underlying neurobiological infrastructure. However, it is necessary to combine and constrain the interpretation of ALL results by theoretical models and empirical studies on natural language processing. Given that the faculty of language is captured by classical computational models to a significant extent, and that these can be embedded in dynamic network architectures, there is hope that significant progress can be made in understanding the neurobiology of the language faculty.
Keyword: Articles
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3367693
https://doi.org/10.1098/rstb.2012.0101
http://www.ncbi.nlm.nih.gov/pubmed/22688633
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19
Rapid recognition at 10 months as a predictor of language development
Junge, Caroline; Kooijman, Valesca; Hagoort, Peter. - : U.K., Wiley-Blackwell, 2012
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20
Electrophysiological evidence of early word learning
Junge, Caroline; Hagoort, Peter; Cutler, Anne (R12329). - : U.K., Pergamon, 2012
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