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Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding

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Last updated 30 maio 2024
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
Application of the placement rules in Table 1 to sentence (2). The
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
PDF] Incremental sentence generation: a computer model of grammatical encoding
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
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
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
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
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
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