13 research outputs found
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Spring School on Language, Music, and Cognition: Organizing Events in Time
The interdisciplinary spring school âLanguage, music, and cognition: Organizing events in timeâ was held from February 26 to March 2, 2018 at the Institute of Musicology of the University of Cologne. Language, speech, and music as events in time were explored from different perspectives including evolutionary biology, social cognition, developmental psychology, cognitive neuroscience of speech, language, and communication, as well as computational and biological approaches to language and music. There were 10 lectures, 4 workshops, and 1 student poster session.
Overall, the spring school investigated language and music as neurocognitive systems and focused on a mechanistic approach exploring the neural substrates underlying musical, linguistic, social, and emotional processes and behaviors. In particular, researchers approached questions concerning cognitive processes, computational procedures, and neural mechanisms underlying the temporal organization of language and music, mainly from two perspectives: one was concerned with syntax or structural representations of language and music as neurocognitive systems (i.e., an intrapersonal perspective), while the other emphasized social interaction and emotions in their communicative function (i.e., an interpersonal perspective). The spring school not only acted as a platform for knowledge transfer and exchange but also generated a number of important research questions as challenges for future investigations
Neural bases of social communicative intentions in speech
Our ability to understand othersâ communicative intentions in speech is key to successful social interaction. Indeed, misunderstanding an âexcuse meâ as apology, while meant as criticism, may have important consequences. Recent behavioural studies have provided evidence that prosody, that is, vocal tone, is an important indicator for speakersâ intentions. Using a novel audio-morphing paradigm, the present functional magnetic resonance imaging study examined the neurocognitive mechanisms that allow listeners to âreadâ speakersâ intents from vocal prosodic patterns. Participants categorized prosodic expressions that gradually varied in their acoustics between criticism, doubt, and suggestion. Categorizing typical exemplars of the three intentions induced activations along the ventral auditory stream, complemented by amygdala and mentalizing system. These findings likely depict the stepwise conversion of external perceptual information into abstract prosodic categories and internal social semantic concepts, including the speakerâs mental state. Ambiguous tokens, in turn, involved cingulo-opercular areas known to assist decision-making in case of conflicting cues. Auditory and decision-making processes were flexibly coupled with the amygdala, depending on prosodic typicality, indicating enhanced categorization efficiency of overtly relevant, meaningful prosodic signals. Altogether, the results point to a model in which auditory prosodic categorization and socio-inferential conceptualization cooperate to translate perceived vocal tone into a coherent representation of the speakerâs intent
Prosody conveys speakerâs intentions: Acoustic cues for speech act perception
Action-theoretic views of language posit that the recognition of othersâ intentions is key to successful interpersonal communication. Yet, speakers do not always code their intentions literally, raising the question of which mechanisms enable interlocutors to exchange communicative intents. The present study investigated whether and how prosodyâthe vocal toneâcontributes to the identification of âunspokenâ intentions. Single (non-)words were spoken with six intonations representing different speech actsâas carriers of communicative intentions. This corpus was acoustically analyzed (Experiment 1), and behaviorally evaluated in two experiments (Experiments 2 and 3). The combined results show characteristic prosodic feature configurations for different intentions that were reliably recognized by listeners. Interestingly, identification of intentions was not contingent on context (single words), lexical information (non-words), and recognition of the speakerâs emotion (valence and arousal). Overall, the data demonstrate that speakersâ intentions are represented in the prosodic signal which can, thus, determine the success of interpersonal communication
Adverse listening conditions and memory load drive a common alpha oscillatory network
How does acoustic degradation affect the neural mechanisms of working memory? Enhanced alpha oscillations (8-13 Hz) during retention of items in working memory are often interpreted to reflect increased demands on storage and inhibition. We hypothesised that auditory signal degradation poses an additional challenge to human listeners partly because it draws on the same neural mechanisms. In an adapted Sternberg paradigm, auditory memory load and acoustic degradation were paramet-rically varied and the magnetoencephalographic (MEG) response was analysed in the timeâfrequency domain. Notably, during the stimulus-free delay interval alpha power monotonically increased at centralâparietal sensors as functions of memory load (higher alpha power with more memory load) and of acoustic degradation (also higher alpha power with more severe acoustic degradation). This alpha effect was super-additive when highest load was combined with most severe degradation. Moreover, alpha oscillatory dynamics during stimulus-free delay were predictive of response times to the probe item. Source localisation of alpha power during stimulus-free delay indicated that alpha generators in right parietal, cingulate, supramarginal, and superior temporal cortex were sensitive to combined memory load and acoustic degradation. In sum, both challenges of memory load and acoustic degradation increase activity in a common alpha-frequency network. The results set the stage for future studies on how chronic or acute degradations of sensory input affect mechanisms of executive control