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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)
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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 ...
Abstract: Prediction in language has traditionally been studied using simple designs in which neural responses to expected and unexpected words are compared in a categorical fashion. However, these designs have been contested as being `prediction encouraging', potentially exaggerating the importance of prediction in language understanding. A few recent studies have begun to address these worries by using model-based approaches to probe the effects of linguistic predictability in naturalistic stimuli (e.g. continuous narrative). However, these studies so far only looked at very local forms of prediction, using models that take no more than the prior two words into account when computing a word's predictability. Here, we extend this approach using a state-of-the-art neural language model that can take roughly 500 times longer linguistic contexts into account. Predictability estimates from the neural network offer a much better fit to EEG data from subjects listening to naturalistic narrative than simpler models, and ... : 4 pages, 3 figures, accepted at the 2019 Conference on Cognitive Computational Neuroscience ...
Keyword: FOS Biological sciences; Neurons and Cognition q-bio.NC
URL: https://dx.doi.org/10.48550/arxiv.1909.04400
https://arxiv.org/abs/1909.04400
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20
Mother of unification studies, a 204-subject multimodal neuroimaging dataset to study language processing ...
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