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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
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
A) Lateral/Medial pathways as implemented in the model (B) PRc and PHc
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
Neuroinformatics Volume 12, issue 1
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Regions More Activated for Producing Before than After Sentences
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
PDF] Compensating for Language Deficits in Amnesia II: H.M.'s Spared versus Impaired Encoding Categories
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
Neuroinformatics Volume 12, issue 1
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
PDF) Grammatical workspace sharing during language production and language comprehension: Evidence from grammatical multitasking
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
Regions More Activated for Producing Before than After Sentences
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
A) Illustration of Complementary Learning System. EC, CA1, and the
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