The brain is a prediction machine that cares about good and bad - Any implications for neuropragmatics?

Experimental pragmatics asks how people construct contextualized meaning in communication. So what does it mean for this field to add neuroas a prefix to its name? After analyzing the options for any subfield of cognitive science, I argue that neuropragmatics can and occasionally should go beyond the instrumental use of EEG or fMRI and beyond mapping classic theoretical distinctions onto Brodmann areas. In particular, if experimental pragmatics ‘goes neuro’, it should take into account that the brain evolved as a control system that helps its bearer negotiate a highly complex, rapidly changing and often not so friendly environment. In this context, the ability to predict current unknowns, and to rapidly tell good from bad, are essential ingredients of processing. Using insights from non-linguistic areas of cognitive neuroscience as well as from EEG research on utterance comprehension, I argue that for a balanced development of experimental pragmatics, these two characteristics of the brain cannot be ignored

The linguistics of gender

This chapter explores grammatical gender as a linguistic phenomenon. First, I define gender in terms of agreement, and look at the parts of speech that can take gender agreement. Because it relates to assumptions underlying much psycholinguistic gender research, I also examine the reasons why gender systems are thought to emerge, change, and disappear. Then, I describe the gender system of Dutch. The frequent confusion about the number of genders in Dutch will be resolved by looking at the history of the system, and the role of pronominal reference therein. In addition, I report on three lexical- statistical analyses of the distribution of genders in the language. After having dealt with Dutch, I look at whether the genders of Dutch and other languages are more or less randomly assigned, or whether there is some system to it. In contrast to what many people think, regularities do indeed exist. Native speakers could in principle exploit such regularities to compute rather than memorize gender, at least in part. Although this should be taken into account as a possibility, I will also argue that it is by no means a necessary implication

The electrophysiology of discourse and conversation

Introduction: What’s happening in the brains of two people having a conversation? One reasonable guess is that in the fMRI scanner we’d see most of their brains light up. Another is that their EEG will be a total mess, reflecting dozens of interacting neuronal systems. Conversation recruits all of the basic language systems reviewed in this book. It also heavily taxes cognitive systems more likely to be found in handbooks of memory, attention and control, or social cognition (Brownell & Friedman, 2001). With most conversations going beyond the single utterance, for instance, they place a heavy load on episodic memory, as well as on the systems that allow us to reallocate cognitive resources to meet the demands of a dynamically changing situation. Furthermore, conversation is a deeply social and collaborative enterprise (Clark, 1996; this volume), in which interlocutors have to keep track of each others state of mind and coordinate on such things as taking turns, establishing common ground, and the goals of the conversation

The interplay between semantic and referential aspects of anaphoric noun phrase resolution: Evidence from ERPs

In this event-related brain potential (ERP) study, we examined how semantic and referential aspects of anaphoric noun phrase resolution interact during discourse comprehension. We used a full factorial design that crossed referential ambiguity with semantic incoherence. Ambiguous anaphors elicited a sustained negative shift (Nref effect), and incoherent anaphors elicited an N400 effect. Simultaneously ambiguous and incoherent anaphors elicited an ERP pattern resembling that of the incoherent anaphors. These results suggest that semantic incoherence can preclude readers from engaging in anaphoric inferencing. Furthermore, approximately half of our participants unexpectedly showed common late positive effects to the three types of problematic anaphors. We relate the latter finding to recent accounts of what the P600 might reflect, and to the role of individual differences therein

On the use of verb-based implicit causality in sentence comprehension: Evidence from self-paced reading and eye tracking

In two experiments, we examined the recent claim (Stewart, Pickering, & Sanford, 2000) that verb-based implicit causality information is used during sentence–final clausal integration only. We did so by looking for mid-sentence reading delays caused by pronouns that are inconsistent with the bias of a preceding implicit causality verb (e.g., “David praised Linda because he…”). In a self-paced reading task, such pronouns immediately slowed down reading, at the two words immediately following the pronoun. In eye tracking, bias-inconsistent pronouns also immediately perturbed the reading process, as indexed by significant delays in various first pass measures at and shortly after the critical pronoun. Hence, readers can recruit verb-based implicit causality information in the service of comprehension rapidly enough to impact on the interpretation of a pronoun early in the subordinate clause. We take our results to suggest that implicit causality is used proactively, allowing readers to focus on, and perhaps even predict, who or what will be talked about next

What makes a discourse constraining? Comparing the effects of discourse message and scenario fit on the discourse-dependent N400 effect

A discourse context provides a reader with a great deal of information that can provide constraints for further language processing, at several different levels. In this experiment we used event-related potentials (ERPs) to explore whether discourse-generated contextual constraints are based on the precise message of the discourse or, more `loosely', on the scenario suggested by one or more content words in the text. Participants read constraining stories whose precise message rendered a particular word highly predictable ("The manager thought that the board of directors should assemble to discuss the issue. He planned a...[meeting]") as well as non-constraining control stories that were only biasing in virtue of the scenario suggested by some of the words ("The manager thought that the board of directors need not assemble to discuss the issue. He planned a..."). Coherent words that were inconsistent with the message-level expectation raised in a constraining discourse (e.g., "session" instead of "meeting") elicited a classic centroparietal N400 effect. However, when the same words were only inconsistent with the scenario loosely suggested by earlier words in the text, they elicited a different negativity around 400 ms, with a more anterior, left-lateralized maximum. The fact that the discourse-dependent N400 effect cannot be reduced to scenario-mediated priming reveals that it reflects the rapid use of precise message-level constraints in comprehension. At the same time, the left-lateralized negativity in non-constraining stories suggests that, at least in the absence of strong message-level constraints, scenario-mediated priming does also rapidly affect comprehension

Globalisering Voedingsketens

Ook de Nederlandse voedings- en genotmiddelenindustrie (V&G) ontkomt niet aan globalisering. De afgelopen tien jaar heeft een aantal ontwikkelingen de tendens van voortgaande internationalisering van het bedrijfsleven bevorderd

Data exchange for web site content and resource sharing

At the MPI for Psycholinguistics we launched a new web site (www.mpi.nl) on April 20, 2009. The web site is created in the Content Management System Plone. Our Plone CMS communicates with three data bases: 1. The MPI people data base: The interaction between the data base and the CMS is through a python script which allows us to create standard person pages for each MPI member. Person pages have a default person home set-up, a standard sub folder structure and some extra functionality to create user specific content. 2. The MPDL PubMan data base. Every night our CMS retrieves the metadata from the PubMan data base and stores these in the CMS using a python script. Researchers can specify a set of criteria to select the publications they wish to show on the publication folder of their person pages. The display can either be set to sort the publications by year, or by publication type or a combination of the two. A special (and hidden) 'local tag' element in the PubMan metadata set has been created to either create a collection for special publications or to exclude publications to be presented on the web page. In addition, research group and projects can create publications list based on the research group or project name. The MPDL metadata accomodates persistent links to the full text which can be viewed directly from the website when set at Public (in PubMan). In case the publication is set at Private a request form will appear with which users can send a request to our Library. The MPDL metadata also accomdates persistent links to the MPI-psycholinguistics research data archive. This allows the users to store supplementary material (primary data) in this archive and to link it to the PubMan data base. On the web site it will show automatically if the publiaction has supplementary material. 3. The MPI research data archive At our institute we house a primary research data archive. From the web site links can be created to these data, which will provide an alternative (and more public friendly) manner of showing the data. To realize the communication between the CMS and the three data bases has been quite a technical and organisational challenge, involving a lot of commitment from the MPDL team members and from the institute staff involved in the development of the web site (library, techical support). We feel that the functionality we have created is complex, but very nice and -easy-to-be-used- by other MPI institutes with a Plone based web site

Negative affect increases reanalysis of conflicts between discourse context and world knowledge

Introduction: Mood is a constant in our daily life and can permeate all levels of cognition. We examined whether and how mood influences the processing of discourse content that is relatively neutral and not loaded with emotion. During discourse processing, readers have to constantly strike a balance between what they know in long term memory and what the current discourse is about. Our general hypothesis is that mood states would affect this balance. We hypothesized that readers in a positive mood would rely more on default world knowledge, whereas readers in a negative mood would be more inclined to analyze the details in the current discourse.Methods: Participants were put in a positive and a negative mood via film clips, one week apart. In each session, after mood manipulation, they were presented with sentences in discourse materials. We created sentences such as “With the lights on you can see...” that end with critical words (CWs) “more” or “less”, where general knowledge supports “more”, not “less”. We then embedded each of these sentences in a wider discourse that does/does not support the CWs (a story about driving in the night vs. stargazing). EEG was recorded throughout.Results: The results showed that first, mood manipulation was successful in that there was a significant mood difference between sessions. Second, mood did not modulate the N400 effects. Participants in both moods detected outright semantic violations and allowed world knowledge to be overridden by discourse context. Third, mood modulated the LPC (Late Positive Component) effects, distributed in the frontal region. In negative moods, the LPC was sensitive to one-level violation. That is, CWs that were supported by only world knowledge, only discourse, and neither, elicited larger frontal LPCs, in comparison to the condition where CWs were supported by both world knowledge and discourse.Discussion: These results suggest that mood does not influence all processes involved in discourse processing. Specifically, mood does not influence lexical-semantic retrieval (N400), but it does influence elaborative processes for sensemaking (P600) during discourse processing. These results advance our understanding of the impact and time course of mood on discourse