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1
Deconstructing the Label Advantage Effect
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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2
Linguistic labels cue biological motion perception and misperception ...
Slivac, Ksenija; Hervais-Adelman, Alexis; Hagoort, Peter. - : Nature Publishing Group, 2021
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3
Deconstructing the Label Advantage Effect ...
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4
Selective modulation of interhemispheric connectivity by transcranial alternating current stimulation influences binaural integration ...
Preisig, Basil; Riecke, Lars; Sjerps, Matthias. - : Radboud University, 2021
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5
Linguistic labels cue biological motion perception and misperception
In: Sci Rep (2021)
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6
Linguistic labels cue biological motion perception and misperception
In: Slivac, Ksenija; Hervais-Adelman, Alexis; Hagoort, Peter; Flecken, Monique (2021). Linguistic labels cue biological motion perception and misperception. Scientific Reports, 11(1):online. (2021)
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7
Structure-(in)dependent Interpretation of Phrases in Humans and LSTMs
In: Proceedings of the Society for Computation in Linguistics (2021)
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8
Biasing speech perception with transcranial alternating current stimulation ...
Kösem, Anne; Bosker, Hans Rutger; Jensen, Ole. - : Radboud University, 2020
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9
The neural underpinnings of shared meaning between speakers and listeners of naturalistic language ...
Heidlmayr, Karin; Weber, Kirsten; Takashima, Atsuko. - : Radboud University, 2020
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10
Do we predict upcoming speech content in naturalistic environments? ...
Heyselaar, Evelien; Peeters, David; Hagoort, Peter. - : Taylor & Francis, 2020
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11
Do we predict upcoming speech content in naturalistic environments? ...
Heyselaar, Evelien; Peeters, David; Hagoort, Peter. - : Taylor & Francis, 2020
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12
Sensory Modality-Independent Activation of the Brain Network for Language
In: J Neurosci (2020)
Abstract: The meaning of a sentence can be understood, whether presented in written or spoken form. Therefore, it is highly probable that brain processes supporting language comprehension are at least partly independent of sensory modality. To identify where and when in the brain language processing is independent of sensory modality, we directly compared neuromagnetic brain signals of 200 human subjects (102 males) either reading or listening to sentences. We used multiset canonical correlation analysis to align individual subject data in a way that boosts those aspects of the signal that are common to all, allowing us to capture word-by-word signal variations, consistent across subjects and at a fine temporal scale. Quantifying this consistency in activation across both reading and listening tasks revealed a mostly left-hemispheric cortical network. Areas showing consistent activity patterns included not only areas previously implicated in higher-level language processing, such as left prefrontal, superior and middle temporal areas, and anterior temporal lobe, but also parts of the control network as well as subcentral and more posterior temporal-parietal areas. Activity in this supramodal sentence-processing network starts in temporal areas and rapidly spreads to the other regions involved. The findings indicate not only the involvement of a large network of brain areas in supramodal language processing but also that the linguistic information contained in the unfolding sentences modulates brain activity in a word-specific manner across subjects. SIGNIFICANCE STATEMENT The brain can extract meaning from written and spoken messages alike. This requires activity of both brain circuits capable of processing sensory modality-specific aspects of the input signals as well as coordinated brain activity to extract modality-independent meaning from the input. Using traditional methods, it is difficult to disentangle modality-specific activation from modality-independent activation. In this work, we developed and applied a multivariate methodology that allows for a direct quantification of sensory modality-independent brain activity, revealing fast activation of a wide network of brain areas, both including and extending beyond the core network for language.
Keyword: Research Articles
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7117900/
https://doi.org/10.1523/JNEUROSCI.2271-19.2020
http://www.ncbi.nlm.nih.gov/pubmed/32111697
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13
Neuronal spike-rate adaptation supports working memory in language processing
In: Proc Natl Acad Sci U S A (2020)
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14
The meaning-making mechanism(s) behind the eyes and between the ears
In: Philos Trans R Soc Lond B Biol Sci (2020)
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15
Publisher Correction: A 204-subject multimodal neuroimaging dataset to study language processing [<Journal>]
Schoffelen, Jan-Mathijs [Verfasser]; Oostenveld, Robert [Verfasser]; Lam, Nietzsche H. L. [Verfasser].
DNB Subject Category Language
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16
A 204-subject multimodal neuroimaging dataset to study language processing [<Journal>]
Schoffelen, Jan-Mathijs [Verfasser]; Oostenveld, Robert [Verfasser]; Lam, Nietzsche H. L. [Verfasser].
DNB Subject Category Language
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17
Human language : from genes and brains to behavior electronic resource
Hagoort, Peter. - Cambridge, MA : MIT Press, 2019
MPI für Psycholinguistik
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18
Human language : from genes and brains to behavior
Hagoort, Peter. - Cambridge, MA : MIT Press, 2019
MPI für Psycholinguistik
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19
Tracking Naturalistic Linguistic Predictions with Deep Neural Language Models ...
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20
Mother of unification studies, a 204-subject multimodal neuroimaging dataset to study language processing ...
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