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Open AccessJournal ArticleDOI

A Neurocomputational Model of the N400 and the P600 in Language Processing

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TLDR
This neurocomputational model is the first to successfully simulate the N400 and P600 amplitude in language comprehension, and simulations with this model provide a proof of concept of the single‐stream RI account of semantically induced patterns of N400and P600 modulations.
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This article is published in Cognitive Science.The article was published on 2017-05-01 and is currently open access. It has received 188 citations till now. The article focuses on the topics: Semantic memory & Semantics.

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Journal ArticleDOI

Modelling the N400 brain potential as change in a probabilistic representation of meaning.

TL;DR: The authors provide a unified explanation of the N400 in a neural network model that avoids the commitments of traditional approaches to meaning in language and connects human language comprehension with recent deep learning approaches to language processing.
Proceedings ArticleDOI

Finding syntax in human encephalography with beam search

TL;DR: This article used recurrent neural network grammars (RNNGs) as regressors against human electrophysiological responses to naturalistic text and derived two amplitude effects: an early peak and a P600-like later peak.
Posted ContentDOI

A hierarchy of linguistic predictions during natural language comprehension

TL;DR: This work establishes that brain responses to words are modulated by ubiquitous, probabilistic predictions, and disentangle model-based predictions into distinct dimensions, revealing dissociable signatures of syntactic, phonemic and semantic predictions.
Journal ArticleDOI

Event-related potentials index lexical retrieval (N400) and integration (P600) during language comprehension.

TL;DR: These findings provide support for an integrated functional interpretation according to which the N400 reflects context-sensitive lexical retrieval - but not integration - processes, and argue that they can be reconciled with the integration view, if spatio-temporal overlap of ERP components is taken into consideration.
Journal ArticleDOI

The P3b and P600(s): Positive contributions to language comprehension

TL;DR: It is argued that grouping ERP responses primarily by domain (language vs. nonlanguage) is likely to be misleading and alternative ways of determining whether ERP effects reflect similar or different processing mechanisms are suggested.
References
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Journal ArticleDOI

Learning representations by back-propagating errors

TL;DR: Back-propagation repeatedly adjusts the weights of the connections in the network so as to minimize a measure of the difference between the actual output vector of the net and the desired output vector, which helps to represent important features of the task domain.
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Finding Structure in Time

TL;DR: A proposal along these lines first described by Jordan (1986) which involves the use of recurrent links in order to provide networks with a dynamic memory and suggests a method for representing lexical categories and the type/token distinction is developed.
Journal ArticleDOI

The cortical organization of speech processing

TL;DR: A dual-stream model of speech processing is outlined that assumes that the ventral stream is largely bilaterally organized — although there are important computational differences between the left- and right-hemisphere systems — and that the dorsal stream is strongly left- Hemisphere dominant.
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Reading senseless sentences: brain potentials reflect semantic incongruity

TL;DR: In a sentence reading task, words that occurred out of context were associated with specific types of event-related brain potentials that elicited a late negative wave (N400).
Journal ArticleDOI

Imaging Cognition II: An Empirical Review of 275 PET and fMRI Studies

TL;DR: Analysis of regional activations across cognitive domains suggested that several brain regions, including the cerebellum, are engaged by a variety of cognitive challenges.
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