Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding

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Last updated 22 dezembro 2024
Prolegomena to a Neurocomputational Architecture for Human Grammatical  Encoding and Decoding
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
The Visual Working Memory (WM) of VISIONS interprets the current scene
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
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
PDF) COMPUTATIONAL MODELS OF SYNTACTIC PROCESSING IN HUMAN LANGUAGE COMPREHENSION
Prolegomena to a Neurocomputational Architecture for Human Grammatical  Encoding and Decoding
Topology for English clauses. The names of the three fields are our
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
The effect of changing (A) the amount of inhibition in DG proximal, and
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
The Brain Basis of Language Processing: From Structure to Function
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
Regions more activated for producing before than after
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
The neurobiology of syntax: beyond string sets Philosophical Transactions of the Royal Society B: Biological Sciences

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