Displaying 1 - 13 of 13
Flecken, M., & Von Stutterheim, C. (2018). Sprache und Kognition: Sprachvergleichende und lernersprachliche Untersuchungen zur Ereigniskonzeptualisierung. In S. Schimke, & H. Hopp (
Eds.), Sprachverarbeitung im Zweitspracherwerb (pp. 325-356). Berlin: De Gruyter. doi:10.1515/9783110456356-014.
De Groot, A. M. B., & Hagoort, P. (
Eds.). (2018). Research methods in psycholinguistics and the neurobiology of language: A practical guide. Oxford: Wiley.
Rommers, J., & Federmeier, K. D. (2018). Electrophysiological methods. In A. M. B. De Groot, & P. Hagoort (
Eds.), Research methods in psycholinguistics and the neurobiology of language: A practical guide (pp. 247-265). Hoboken: Wiley.
Udden, J., & Männel, C. (2018). Artificial grammar learning and its neurobiology in relation to language processing and development. In S.-A. Rueschemeyer, & M. G. Gaskell (
Eds.), The Oxford Handbook of Psycholinguistics (2nd ed., pp. 755-783). Oxford: Oxford University Press.
AbstractThe artificial grammar learning (AGL) paradigm enables systematic investigation of the acquisition of linguistically relevant structures. It is a paradigm of interest for language processing research, interfacing with theoretical linguistics, and for comparative research on language acquisition and evolution. This chapter presents a key for understanding major variants of the paradigm. An unbiased summary of neuroimaging findings of AGL is presented, using meta-analytic methods, pointing to the crucial involvement of the bilateral frontal operculum and regions in the right lateral hemisphere. Against a background of robust posterior temporal cortex involvement in processing complex syntax, the evidence for involvement of the posterior temporal cortex in AGL is reviewed. Infant AGL studies testing for neural substrates are reviewed, covering the acquisition of adjacent and non-adjacent dependencies as well as algebraic rules. The language acquisition data suggest that comparisons of learnability of complex grammars performed with adults may now also be possible with children.
Willems, R. M., & Van Gerven, M. (2018). New fMRI methods for the study of language. In S.-A. Rueschemeyer, & M. G. Gaskell (
Eds.), The Oxford Handbook of Psycholinguistics (2nd ed., pp. 975-991). Oxford: Oxford University Press.
Willems, R. M., & Cristia, A. (2018). Hemodynamic methods: fMRI and fNIRS. In A. M. B. De Groot, & P. Hagoort (
Eds.), Research methods in psycholinguistics and the neurobiology of language: A practical guide (pp. 266-287). Hoboken: Wiley.
Hagoort, P. (2017). It is the facts, stupid. In J. Brockman, F. Van der Wa, & H. Corver (
Eds.), Wetenschappelijke parels: het belangrijkste wetenschappelijke nieuws volgens 193 'briljante geesten'. Amsterdam: Maven Press.
Hagoort, P. (2017). The neural basis for primary and acquired language skills. In E. Segers, & P. Van den Broek (
Eds.), Developmental Perspectives in Written Language and Literacy: In honor of Ludo Verhoeven (pp. 17-28). Amsterdam: Benjamins. doi:10.1075/z.206.02hag.
AbstractReading is a cultural invention that needs to recruit cortical infrastructure that was not designed for it (cultural recycling of cortical maps). In the case of reading both visual cortex and networks for speech processing are recruited. Here I discuss current views on the neurobiological underpinnings of spoken language that deviate in a number of ways from the classical Wernicke-Lichtheim-Geschwind model. More areas than Broca’s and Wernicke’s region are involved in language. Moreover, a division along the axis of language production and language comprehension does not seem to be warranted. Instead, for central aspects of language processing neural infrastructure is shared between production and comprehension. Arguments are presented in favor of a dynamic network view, in which the functionality of a region is co-determined by the network of regions in which it is embedded at particular moments in time. Finally, core regions of language processing need to interact with other networks (e.g. the attentional networks and the ToM network) to establish full functionality of language and communication. The consequences of this architecture for reading are discussed.
Coulson, S., & Lai, V. T. (
Eds.). (2016). The metaphorical brain [Research topic]. Lausanne: Frontiers Media. doi:10.3389/978-2-88919-772-9.
AbstractThis Frontiers Special Issue will synthesize current findings on the cognitive neuroscience of metaphor, provide a forum for voicing novel perspectives, and promote new insights into the metaphorical brain.
Hagoort, P. (2016). MUC (Memory, Unification, Control): A Model on the Neurobiology of Language Beyond Single Word Processing. In G. Hickok, & S. Small (
Eds.), Neurobiology of language (pp. 339-347). Amsterdam: Elsever. doi:10.1016/B978-0-12-407794-2.00028-6.
AbstractA neurobiological model of language is discussed that overcomes the shortcomings of the classical Wernicke-Lichtheim-Geschwind model. It is based on a subdivision of language processing into three components: Memory, Unification, and Control. The functional components as well as the neurobiological underpinnings of the model are discussed. In addition, the need for extension beyond the classical core regions for language is shown. Attentional networks as well as networks for inferential processing are crucial to realize language comprehension beyond single word processing and beyond decoding propositional content.
Hagoort, P. (2016). Zij zijn ons brein. In J. Brockman (
Ed.), Machines die denken: Invloedrijke denkers over de komst van kunstmatige intelligentie (pp. 184-186). Amsterdam: Maven Publishing.
De Nooijer, J. A., & Willems, R. M. (2016). What can we learn about cognition from studying handedness? Insights from cognitive neuroscience. In F. Loffing, N. Hagemann, B. Strauss, & C. MacMahon (
Eds.), Laterality in sports: Theories and applications (pp. 135-153). Amsterdam: Elsevier.
AbstractCan studying left- and right-handers inform us about cognition? In this chapter, we give an overview of research showing that studying left- and right-handers is informative for understanding the way the brain is organized (i.e., lateralized), as there appear to be differences between left- and right-handers in this respect, but also on the behavioral level handedness studies can provide new insights. According to theories of embodied cognition, our body can influence cognition. Given that left- and right-handers use their bodies differently, this might reflect their performance on an array of cognitive tasks. Indeed, handedness can have an influence on, for instance, what side of space we judge as more positive, the way we gesture, how we remember things, and how we learn new words. Laterality research can, therefore, provide valuable information as to how we act and why
Silva, S., Petersson, K. M., & Castro, S. (2016). Rhythm in the brain: Is music special? In D. Da Silva Marques, & J. Avila-Toscano (
Eds.), Neuroscience to neuropsychology: The study of the human brain (pp. 29-54). Barranquilla, Colombia: Ediciones CUR.