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Erschienen in:
Understanding Nature Through the Symbiosis of Information Science, Bioinformatics, and Neuroinformatics Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

48. Neurocomputational Models of Natural Language

verfasst von : Alistair Knott

Erschienen in: Springer Handbook of Bio-/Neuroinformatics

Verlag: Springer Berlin Heidelberg

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Abstract

In this chapter I review computational models of the neural circuitry which implements the human capacity for language. These models cover many different aspects of the language capacity, from representations of phonology and word forms to representations of sentence meanings and syntactic structures. The computational models discussed are neural networks: structures of simple units which are densely interconnected and can be active in parallel. I review the computational properties of the networks introduced and also empirical evidence from different sources (neural imaging, behavioral experiments, patterns of impairment following brain dysfunction) which supports the models described.

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Vorheriges Kapitel Brain-like Information Processing for Spatio-Temporal Pattern Recognition
Nächstes Kapitel Ontologies and Machine Learning Systems
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Metadaten
Titel
Neurocomputational Models of Natural Language
verfasst von
Alistair Knott
Copyright-Jahr
2014
Buch
Springer Handbook of Bio-/Neuroinformatics

Print ISBN: 978-3-642-30573-3

Electronic ISBN: 978-3-642-30574-0

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-642-30574-0_48