Language and Culture

Language pervades social life. It is a primary means by which we gain access to the contents of others\u27 minds and establish shared understanding of the reality. Meanwhile, there is an enormous amount of linguistic diversity among human populations. Depending on what counts as a language, there are 3,000 to 10,000 living languages in the world, although a quarter of the world’s languages have fewer than 1,000 speakers and half have fewer than 10,000 (Crystal, 1997). Not surprisingly, a key question in culture and psychology research concerns the role of language in cultural processes. The present chapter focuses on two issues that have received by far the greatest amount of research attention from cultural researchers. First, how does language and human cultures co-evolve? Second, what are the non-linguistic cognitive effects of using a certain language? Does speaking different languages orient individuals to see and experience the external reality differently? The scope of the present chapter does not permit a comprehensive review of all pertinent research; only a selected sample of studies will be used to illustrate the main ideas in the present chapter

Voice processing abilities in children with autism, children with specific language impairments and young typically developing children

It is well established that people with autism have impaired face processing, but much less is known about voice processing in autism. Four experiments were therefore carried out to assess (1) familiar voice-face and sound-object matching; (2) familiar voice recognition; (3) unfamiliar voice discrimination; and (4) vocal affect naming and vocal-facial affect matching. In Experiments 1 and 2 language-matched children with specific language impairment (SLI) were the controls. In Experiments 3 and 4 language-matched children with SLI and young mainstream children were the controls. The results were unexpected: the children with autism were not impaired relative to controls on Experiments 1, 2 and 3, and were superior to the children with SLI on both parts of Experiment 4, although impaired on affect matching relative to the mainstream children. These results are interpreted in terms of an unexpected impairment of voice processing in the children with SLI associated partly, but not wholly, with an impairment of cross-modal processing. Performance on the experimental tasks was not associated with verbal or nonverbal ability in either of the clinical groups. The implications of these findings for understanding autism and SLI are discussed

Referential precedents in spoken language comprehension: a review and meta-analysis

Listeners’ interpretations of referring expressions are influenced by referential precedents—temporary conventions established in a discourse that associate linguistic expressions with referents. A number of psycholinguistic studies have investigated how much precedent effects depend on beliefs about the speaker’s perspective versus more egocentric, domain-general processes. We review and provide a meta-analysis of visual-world eyetracking studies of precedent use, focusing on three principal effects: (1) a same speaker advantage for maintained precedents; (2) a different speaker advantage for broken precedents; and (3) an overall main effect of precedents. Despite inconsistent claims in the literature, our combined analysis reveals surprisingly consistent evidence supporting the existence of all three effects, but with different temporal profiles. These findings carry important implications for existing theoretical explanations of precedent use, and challenge explanations based solely on the use of information about speakers’ perspectives

On computational and behavioral evidence regarding Hebbian transcortical cell assemblies.

Pulvermuller restricts himself to an unnecessarily narrow range of evidence to support his claims. Evidence from neural modeling and behavioral experiments provides further support for an account of words encoded as transcortical cell assemblies. A cognitive neuroscience of language must include a range of methodologies (e.g., neural, computational, and behavioral) and will need to focus on the on-line processes of real-time language processing in more natural contexts

Utterances as tool-mediated specifications of affordances:Ecological pragmatics

The established descriptions of information structure assume that the basic cognitive unit is a categorization, and that the basic semantic structure is a predication. Descriptions based on these assumptions, however, cannot provide an adequate analysis of certain types of utterances that form a part of activities. The article presents a solution to this problem based on Wittgenstein’s private language argument and the concept of information in Gibson's theory of affordances. The basic cognitive assumption is that performers of activities attend to variations in the environment, for example visibility, and perceive the states of variations (e.g., 3000 feet). A state is defined as a local, temporary occurrence of a stimulus configuration that specifies an affordance. The basic pragmatic assumption, then, is that performers of activities share the states of variations by means of utterances. This ecological-pragmatic assumption allows for a rethinking of the usefulness of the reference-predicate distinction and bring forward different dimensions of informational analysis of utterances. It is claimed that an informative and accurate analysis of utterances that form a part of activities relies two distinctions: a distinction between a convention based regulation of attention and a convention based specification of an affordance, and a distinction between sharing information and nesting informatio

Communication difficulties following right hemisphere stroke : applying evidence to clinical management

Following reports in the 1960s that language may be affected by right hemisphere (RH) lesions, many limitations to effective communication in the right hemisphere damaged (RHD) population have been described and evidenced. However, stereotypical portrayals and descriptions of carefully selected cases may be misleading as to the extent of communication deficits. In many of the parameters in which RHD patients are presented as typically impaired, e.g. discourse skills, a less severe picture may emerge where data from the non-brain damaged (NBD) population are considered, with age and education variables controlled. Subsequent to RHD, some people show deficit on some communication measures, but many of these communication behaviours are also present in some NBD adults. Thus diagnosis of deficit must be made with reference both to the healthy peer population and the individual's pre-lesion behaviour. The authors' right RH stroke research programme includes studies of incidence of communication deficit, comparisons of RHD and NBD groups in various spoken discourse and comprehension tasks, comparison of RHD groups of different ages, detailed analysis of topic within discourse in RHD and NBD groups, family members' views of communication behaviour following RHD, and the natural course of communication change during the first year after RH stroke. The findings from several studies are summarised and used as the basis for management recommendations, which may guide future outcome research. There is an urgent need for the evaluation of communication management programmes, to determine whether therapists may with confidence offer an effective intervention service to those people whose communication skills are affected by RHD

How active perception and attractor dynamics shape perceptual categorization: A computational model

We propose a computational model of perceptual categorization that fuses elements of grounded and sensorimotor theories of cognition with dynamic models of decision-making. We assume that category information consists in anticipated patterns of agent–environment interactions that can be elicited through overt or covert (simulated) eye movements, object manipulation, etc. This information is firstly encoded when category information is acquired, and then re-enacted during perceptual categorization. The perceptual categorization consists in a dynamic competition between attractors that encode the sensorimotor patterns typical of each category; action prediction success counts as ‘‘evidence’’ for a given category and contributes to falling into the corresponding attractor. The evidence accumulation process is guided by an active perception loop, and the active exploration of objects (e.g., visual exploration) aims at eliciting expected sensorimotor patterns that count as evidence for the object category. We present a computational model incorporating these elements and describing action prediction, active perception, and attractor dynamics as key elements of perceptual categorizations. We test the model in three simulated perceptual categorization tasks, and we discuss its relevance for grounded and sensorimotor theories of cognition.Peer reviewe

Some , And Possibly All, Scalar Inferences Are Not Delayed: Evidence For Immediate Pragmatic Enrichment

Scalar inferences are commonly generated when a speaker uses a weaker expression rather than a stronger alternative, e.g., John ate some of the apples implies that he did not eat them all. This article describes a visual-world study investigating how and when perceivers compute these inferences. Participants followed spoken instructions containing the scalar quantifier some directing them to interact with one of several referential targets (e.g., Click on the girl who has some of the balloons). Participants fixated on the target compatible with the implicated meaning of some and avoided a competitor compatible with the literal meaning prior to a disambiguating noun. Further, convergence on the target was as fast for some as for the non-scalar quantifiers none and all. These findings indicate that the scalar inference is computed immediately and is not delayed relative to the literal interpretation of some. It is argued that previous demonstrations that scalar inferences increase processing time are not necessarily due to delays in generating the inference itself, but rather arise because integrating the interpretation of the inference with relevant information in the context may require additional time. With sufficient contextual support, processing delays disappear