Displaying 1 - 15 of 15
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.
Bottini, R., & Casasanto, D. (2010). Implicit spatial length modulates time estimates, but not vice versa. In C. Hölscher, T. F. Shipley, M. Olivetti Belardinelli, J. A. Bateman, & N. Newcombe (
Eds.), Spatial Cognition VII. International Conference, Spatial Cognition 2010, Mt. Hood/Portland, OR, USA, August 15-19, 2010. Proceedings (pp. 152-162). Berlin Heidelberg: Springer.
AbstractHow are space and time represented in the human mind? Here we evaluate two theoretical proposals, one suggesting a symmetric relationship between space and time (ATOM theory) and the other an asymmetric relationship (metaphor theory). In Experiment 1, Dutch-speakers saw 7-letter nouns that named concrete objects of various spatial lengths (tr. pencil, bench, footpath) and estimated how much time they remained on the screen. In Experiment 2, participants saw nouns naming temporal events of various durations (tr. blink, party, season) and estimated the words’ spatial length. Nouns that named short objects were judged to remain on the screen for a shorter time, and nouns that named longer objects to remain for a longer time. By contrast, variations in the duration of the event nouns’ referents had no effect on judgments of the words’ spatial length. This asymmetric pattern of cross-dimensional interference supports metaphor theory and challenges ATOM.
Casasanto, D., & Bottini, R. (2010). Can mirror-reading reverse the flow of time? In C. Hölscher, T. F. Shipley, M. Olivetti Belardinelli, J. A. Bateman, & N. S. Newcombe (
Eds.), Spatial Cognition VII. International Conference, Spatial Cognition 2010, Mt. Hood/Portland, OR, USA, August 15-19, 2010. Proceedings (pp. 335-345). Berlin Heidelberg: Springer.
AbstractAcross cultures, people conceptualize time as if it flows along a horizontal timeline, but the direction of this implicit timeline is culture-specific: in cultures with left-to-right orthography (e.g., English-speaking cultures) time appears to flow rightward, but in cultures with right-to-left orthography (e.g., Arabic-speaking cultures) time flows leftward. Can orthography influence implicit time representations independent of other cultural and linguistic factors? Native Dutch speakers performed a space-time congruity task with the instructions and stimuli written in either standard Dutch or mirror-reversed Dutch. Participants in the Standard Dutch condition were fastest to judge past-oriented phrases by pressing the left button and future-oriented phrases by pressing the right button. Participants in the Mirror-Reversed Dutch condition showed the opposite pattern of reaction times, consistent with results found previously in native Arabic and Hebrew speakers. These results demonstrate a causal role for writing direction in shaping implicit mental representations of time.
Casasanto, D. (2010). En qué casos una metáfora lingüística constituye una metáfora conceptual? In D. Pérez, S. Español, L. Skidelsky, & R. Minervino (
Eds.), Conceptos: Debates contemporáneos en filosofía y psicología. Buenos Airos: Catálogos.
Casasanto, D. (2010). Wie der Körper Sprache und Vorstellungsvermögen im Gehirn formt. In Max-Planck-Gesellschaft. Jahrbuch 2010. München: Max-Planck-Gesellschaft. Retrieved from http://www.mpg.de/jahrbuch/forschungsbericht?obj=454607.
AbstractWenn unsere geistigen Fähigkeiten zum Teil von der Struktur unserer Körper abhängen, dann sollten Menschen mit unterschiedlichen Körpertypen unterschiedlich denken. Um dies zu überprüfen, haben Wissenschaftler des MPI für Psycholinguistik neurale Korrelate von Sprachverstehen und motorischen Vorstellungen untersucht, die durch Aktionsverben hervorgerufen werden. Diese Verben bezeichnen Handlungen, die Menschen zumeist mit ihrer dominanten Hand ausführen (z. B. schreiben, werfen). Das Verstehen dieser Verben sowie die Vorstellung entsprechender motorischer Handlungen wurde in Gehirnen von Rechts- und Linkshändern unterschiedlich lateralisiert. Bilden Menschen mit unterschiedlichen Körpertypen verschiedene Konzepte und Wortbedeutungen? Gemäß der Körperspezifitätshypothese sollten sie das tun . Weil geistige Fähigkeiten vom Körper abhängen, sollten Menschen mit unterschiedlichen Körpertypen auch unterschiedlich denken. Diese Annahme stellt die klassische Auffassung in Frage, dass Konzepte universal und Wortbedeutungen identisch sind für alle Sprecher einer Sprache. Untersuchungen im Projekt „Sprache in Aktion“ am MPI für Psycholinguistik zeigen, dass die Art und Weise, wie Sprecher ihre Körper nutzen, die Art und Weise beeinflusst, wie sie sich im Gehirn Handlungen vorstellen und wie sie Sprache, die solche Handlungen thematisiert, im Gehirn verarbeiten.
Dediu, D. (2010). Linguistic and genetic diversity - how and why are they related? In M. Brüne, F. Salter, & W. McGrew (
Eds.), Building bridges between anthropology, medicine and human ethology: Tributes to Wulf Schiefenhövel (pp. 169-178). Bochum: Europäischer Universitätsverlag.
AbstractThere are some 6000 languages spoken today, classfied in approximately 90 linguistic families and many isolates, and also differing across structural, typological, dimensions. Genetically, the human species is remarkably homogeneous, with the existant genetic diversity mostly explain by intra-population differences between individuals, but the remaining inter-population differences have a non-trivial structure. Populations splits and contacts influence both languages and genes, in principle allowing them to evolve in parallel ways. The farming/language co-dispersal hypothesis is a well-known such theory, whereby farmers spreading agriculture from its places of origin also spread their genes and languages. A different type of relationship was recently proposed, involving a genetic bias which influences the structural properties of language as it is transmitted across generations. Such a bias was proposed to explain the correlations between the distribution of tone languages and two brain development-related human genes and, if confirmed by experimental studies, it could represent a new factor explaining the distrbution of diversity. The present chapter overviews these related topics in the hope that a truly interdisciplinary approach could allow a better understanding of our complex (recent as well as evolutionary) history.
Folia, V., Uddén, J., De Vries, M., Forkstam, C., & Petersson, K. M. (2010). Artificial language learning in adults and children. In M. Gullberg, & P. Indefrey (
Eds.), The earliest stages of language learning (pp. 188-220). Malden, MA: Wiley-Blackwell.
Reis, A., Petersson, K. M., & Faísca, L. (2010). Neuroplasticidade: Os efeitos de aprendizagens específicas no cérebro humano. In C. Nunes, & S. N. Jesus (
Eds.), Temas actuais em Psicologia (pp. 11-26). Faro: Universidade do Algarve.
Willems, R. M., & Hagoort, P. (2010). Cortical motor contributions to language understanding. In L. Hermer (
Ed.), Reciprocal interactions among early sensory and motor areas and higher cognitive networks (pp. 51-72). Kerala, India: Research Signpost Press.
AbstractHere we review evidence from cognitive neuroscience for a tight relation between language and action in the brain. We focus on two types of relation between language and action. First, we investigate whether the perception of speech and speech sounds leads to activation of parts of the cortical motor system also involved in speech production. Second, we evaluate whether understanding action-related language involves the activation of parts of the motor system. We conclude that whereas there is considerable evidence that understanding language can involve parts of our motor cortex, this relation is best thought of as inherently flexible. As we explain, the exact nature of the input as well as the intention with which language is perceived influences whether and how motor cortex plays a role in language processing.