TY - JOUR A1 - Drummer, Janna-Deborah A1 - van der Meer, Elke A1 - Schaadt, Gesa T1 - Event-related potentials in response to violations of content and temporal event knowledge JF - Neuropsychologia : an international journal in behavioural and cognitive neuroscience N2 - Scripts that store knowledge of everyday events are fundamentally important for managing daily routines. Content event knowledge (i.e., knowledge about which events belong to a script) and temporal event knowledge (i.e., knowledge about the chronological order of events in a script) constitute qualitatively different forms of knowledge. However, there is limited information about each distinct process and the time course involved in accessing content and temporal event knowledge. Therefore, we analyzed event-related potentials (ERPs) in response to either correctly presented event sequences or event sequences that contained a content or temporal error. We found an N400, which was followed by a posteriorly distributed P600 in response to content errors in event sequences. By contrast, we did not find an N400 but an anteriorly distributed P600 in response to temporal errors in event sequences. Thus, the N400 seems to be elicited as a response to a general mismatch between an event and the established event model. We assume that the expectancy violation of content event knowledge, as indicated by the N400, induces the collapse of the established event model, a process indicated by the posterior P600. The expectancy violation of temporal event knowledge is assumed to induce an attempt to reorganize the event model in working memory, a process indicated by the frontal P600. (C) 2015 Elsevier Ltd. All rights reserved. KW - Event model KW - Content event knowledge KW - Temporal event knowledge KW - N400 KW - P600 Y1 - 2016 U6 - https://doi.org/10.1016/j.neuropsychologia.2015.11.007 SN - 0028-3932 SN - 1873-3514 VL - 80 SP - 47 EP - 55 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Havas, Viktoria A1 - Rodriguez-Fornells, Antoni A1 - Clahsen, Harald T1 - Brain potentials for derivational morphology an ERP study of deadjectival nominalizations in Spanish JF - Brain & language : a journal of the neurobiology of language N2 - This study investigates brain potentials to derived word forms in Spanish. Two experiments were performed on derived nominals that differ in terms of their productivity and semantic properties but are otherwise similar, an acceptability judgment task and a reading experiment using event-related brain potentials (ERPs) in which correctly and incorrectly formed derived words were presented in sentence contexts. The first experiment indicated productivity differences between the different nominalization processes in Spanish. The second experiment yielded a pattern of ERP responses that differed from both the familiar lexical-semantic and grammatical ERP effects. Violations of derivational morphology elicited an increased N400 component plus a late positivity (P600), unlike gender-agreement violations, which produced the biphasic LAN/P600 ERP pattern known from previous studies of morpho-syntactic violations. We conclude that the recognition of derived word forms engages both word-level (lexical-semantic) and decompositional (morpheme-based) processes. KW - Event-related brain potentials KW - N400 KW - P600 KW - Derivational morphology KW - Spanish Y1 - 2012 U6 - https://doi.org/10.1016/j.bandl.2011.10.008 SN - 0093-934X VL - 120 IS - 3 SP - 332 EP - 344 PB - Elsevier CY - San Diego ER - TY - JOUR A1 - Rabovsky, Milena A1 - McClelland, James L. T1 - Quasi-compositional mapping from form to meaning BT - a neural network-based approach to capturing neural responses during human language comprehension JF - Philosophical transactions of the Royal Society of London : B, Biological sciences N2 - We argue that natural language can be usefully described as quasi-compositional and we suggest that deep learning-based neural language models bear long-term promise to capture how language conveys meaning. We also note that a successful account of human language processing should explain both the outcome of the comprehension process and the continuous internal processes underlying this performance. These points motivate our discussion of a neural network model of sentence comprehension, the Sentence Gestalt model, which we have used to account for the N400 component of the event-related brain potential (ERP), which tracks meaning processing as it happens in real time. The model, which shares features with recent deep learning-based language models, simulates N400 amplitude as the automatic update of a probabilistic representation of the situation or event described by the sentence, corresponding to a temporal difference learning signal at the level of meaning. We suggest that this process happens relatively automatically, and that sometimes a more-controlled attention-dependent process is necessary for successful comprehension, which may be reflected in the subsequent P600 ERP component. We relate this account to current deep learning models as well as classic linguistic theory, and use it to illustrate a domain general perspective on some specific linguistic operations postulated based on compositional analyses of natural language. This article is part of the theme issue 'Towards mechanistic models of meaning composition'. KW - language KW - meaning KW - event-related brain potentials KW - neural networks KW - N400 KW - P600 Y1 - 2019 U6 - https://doi.org/10.1098/rstb.2019.0313 SN - 0962-8436 SN - 1471-2970 SN - 0080-4622 VL - 375 IS - 1791 PB - Royal Society CY - London ER -