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Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding

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Last updated 10 fevereiro 2025
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
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
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
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Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
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Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Some example grammar entries. They can be combined to derive the
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Absolute and relative use frequency of lexical categories for all words
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
The Brain Basis of Language Processing: From Structure to Function
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
A) Lateral/Medial pathways as implemented in the model (B) PRc and PHc
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Shared Language: Overlap and Segregation of the Neuronal Infrastructure for Speaking and Listening Revealed by Functional MRI - Laura Menenti, Sarah M. E. Gierhan, Katrien Segaert, Peter Hagoort, 2011
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
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Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
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