Book contents
- Cognitive Neuroscience of Natural Language Use
- Cognitive Neuroscience of Natural Language Use
- Copyright page
- Contents
- Plates
- Figures
- Contributors
- Abbreviations
- 1 Cognitive neuroscience of natural language use: introduction
- 2 fMRI methods for studying the neurobiology of language under naturalistic conditions
- 3 Why study connected speech production?
- 4 Situation models in naturalistic comprehension
- 5 Language comprehension in rich non-linguistic contexts: combining eye-tracking and event-related brain potentials
- 6 The NOLB model: a model of the natural organization of language and the brain
- 7 Towards a neurocognitive poetics model of literary reading
- 8 Putting Broca’s region into context: fMRI evidence for a role in predictive language processing
- 9 Towards a multi-brain perspective on communication in dialogue
- 10 On the generation of shared symbols
- 11 What are naturalistic comprehension paradigms teaching us about language?
- Index
10 - On the generation of shared symbols
Published online by Cambridge University Press: 05 February 2015
- Cognitive Neuroscience of Natural Language Use
- Cognitive Neuroscience of Natural Language Use
- Copyright page
- Contents
- Plates
- Figures
- Contributors
- Abbreviations
- 1 Cognitive neuroscience of natural language use: introduction
- 2 fMRI methods for studying the neurobiology of language under naturalistic conditions
- 3 Why study connected speech production?
- 4 Situation models in naturalistic comprehension
- 5 Language comprehension in rich non-linguistic contexts: combining eye-tracking and event-related brain potentials
- 6 The NOLB model: a model of the natural organization of language and the brain
- 7 Towards a neurocognitive poetics model of literary reading
- 8 Putting Broca’s region into context: fMRI evidence for a role in predictive language processing
- 9 Towards a multi-brain perspective on communication in dialogue
- 10 On the generation of shared symbols
- 11 What are naturalistic comprehension paradigms teaching us about language?
- Index
Summary
Despite the multiple semantic ambiguities present in every utterance during natural language use, people are remarkably efficient in establishing mutual understanding. This chapter illustrates how the study of human communication in novel settings provides a window into the mechanisms supporting the human competence to rapidly generate and understand novel shared symbols, capturing the joint construction of meaning across interacting agents. In this chapter, we discuss empirical findings and computational hypotheses generated in the context of an experimentally controlled non-verbal interactive task that throw light on these fundamental properties of human referential communication. The neural evidence reviewed here points to mechanisms shared across interlocutors of a communicative interaction. Those neural mechanisms implement predictions based on presumed knowledge and beliefs of the communicative partner. Computationally, the generation of novel meaningful symbolic representations might rely on cross-domain analogical mappings. Those mappings provide a mechanism for systematically augmenting individual pre-existing representations, adjusting them to the current conversational context.
- Type
- Chapter
- Information
- Cognitive Neuroscience of Natural Language Use , pp. 201 - 227Publisher: Cambridge University PressPrint publication year: 2015
- 3
- Cited by