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Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding

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Last updated 10 novembro 2024
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
A) Illustration of Complementary Learning System. EC, CA1, and the
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
Application of the placement rules in Table 1 to sentence (2). The
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
The neurobiology of syntax: beyond string sets Philosophical Transactions of the Royal Society B: Biological Sciences
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
Minimalist lexicon of sentence (1)
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
PDF) Action-Based Grammar Ruth Kempson
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
Absolute and relative use frequency of Study 1 lexical categories
Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
General structure of a SINUS node
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 Study 1 lexical categories
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
The neurobiology of syntax: beyond string sets Philosophical Transactions of the Royal Society B: Biological Sciences
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