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Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding

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Last updated 23 fevereiro 2025
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Minimalist lexicon of sentence (1)
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
The Visual Working Memory (WM) of VISIONS interprets the current scene
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
TCG as a two-route model of language comprehension. The utterance input
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
PDF) COMPUTATIONAL MODELS OF SYNTACTIC PROCESSING IN HUMAN LANGUAGE COMPREHENSION
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
PDF) Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Graded sensitivity to structure and meaning throughout the human language network
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
PDF) COMPUTATIONAL MODELS OF SYNTACTIC PROCESSING IN HUMAN LANGUAGE COMPREHENSION
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
A) Lateral/Medial pathways as implemented in the model (B) PRc and PHc
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
The effect of changing (A) the amount of inhibition in DG proximal, and
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
PDF] Parsing Verb-Final Clauses in German: Garden-path and ERP Effects Modeled by a Parallel Dynamic Parser
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Absolute and relative use frequency of Study 1 lexical categories
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Application of the placement rules in Table 1 to sentence (2). The
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Kempen, Verb-second word order after German weil 'because': Psycholinguistic theory from corpus-linguistic data
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