Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding
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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](https://www.researchgate.net/profile/Victor-Barres/publication/253335210/figure/tbl2/AS:668626940096515@1536424493286/Connectivity-databases_Q320.jpg)
TCG as a two-route model of language comprehension. The utterance input
![Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding](https://i1.rgstatic.net/publication/315772096_From_sentence_structure_to_intonation_contour/links/58e3b0d8a6fdccbc32bbc27d/largepreview.png)
PDF) From sentence structure to intonation contour
![Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding](https://www.researchgate.net/publication/51112763/figure/tbl1/AS:394184864354305@1470992403181/Regions-More-Activated-for-Producing-Before-than-After-Sentences.png)
Regions More Activated for Producing Before than After Sentences
![Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding](https://www.biorxiv.org/content/biorxiv/early/2023/06/29/2021.11.12.467812/F3.large.jpg)
Graded sensitivity to structure and meaning throughout the human language network
![Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding](https://d3i71xaburhd42.cloudfront.net/8b474d31825d6c01c382907bd053bcfc544ec0df/16-Figure1.3-1.png)
PDF] Incremental sentence generation: a computer model of grammatical encoding
![Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding](https://www.researchgate.net/profile/James-Henderson-15/publication/2816416/figure/fig1/AS:669972770586639@1536745364349/An-example-of-temporal-synchrony-variable-binding-and-the-sequential-application-of-two_Q320.jpg)
Some example grammar entries. They can be combined to derive the
![Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding](https://d3i71xaburhd42.cloudfront.net/971bc11c3f73920c45acd4acf82bc2d9e238fb67/8-Figure6-1.png)
PDF] The neurobiology of syntax: beyond string sets
![Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding](https://www.researchgate.net/profile/Richard-Henson-4/publication/305779833/figure/tbl1/AS:669076791783458@1536531746750/46_Q320.jpg)
Absolute and relative use frequency of Study 1 lexical categories
![Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding](https://www.frontiersin.org/files/Articles/103118/fpsyg-05-01174-HTML/image_m/fpsyg-05-01174-g002.jpg)
Frontiers Syntactic flexibility and planning scope: the effect of verb bias on advance planning during sentence recall
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