M
Michel Hoen
Researcher at French Institute of Health and Medical Research
Publications - 73
Citations - 1190
Michel Hoen is an academic researcher from French Institute of Health and Medical Research. The author has contributed to research in topics: Cochlear implant & Speech perception. The author has an hindex of 17, co-authored 70 publications receiving 1034 citations. Previous affiliations of Michel Hoen include Claude Bernard University Lyon 1 & Cochlear Limited.
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Neurological basis of language and sequential cognition: evidence from simulation, aphasia, and ERP studies.
TL;DR: The study of sequential cognition will provide a new paradigm for the investigation of the neurophysiological bases of language, as it is predicted that impaired syntactic processing will be associated with impairments in corresponding non-linguistic cognitive sequencing tasks.
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Phonetic and lexical interferences in informational masking during speech-in-speech comprehension
Michel Hoen,Fanny Meunier,Claire-Léonie Grataloup,François Pellegrino,Nicolas Grimault,Fabien Perrin,Xavier Perrot,Lionel Collet +7 more
TL;DR: Results confirm that lexical masking occurs only when some words in the babble are detectable, and suggest that different levels of linguistic information can be extracted from background babble and cause different types of linguistic competition for target-word identification.
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A Neurolinguistic Model of Grammatical Construction Processing
TL;DR: The objective of the current research is to outline a functional description of grammatical construction processing based on principles of psycholinguistics, develop a model of how these functions can be implemented in human neurophysiology, and demonstrate the feasibility of the resulting model in processing languages of typologically diverse natures, that is, English, French, and Japanese.
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ERP analysis of cognitive sequencing: a left anterior negativity related to structural transformation processing.
Michel Hoen,Peter Ford Dominey +1 more
TL;DR: This paper found that function symbol processing elicits a left anterior negative shift between with temporal and spatial characteristics quite similar to the LAN described during function word processing in language, supporting the hypothesis that the LAN reflects the operation of a more general sequence processing capability.
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Neural network processing of natural language: II. Towards a unified model of corticostriatal function in learning sentence comprehension and non-linguistic sequencing.
TL;DR: This work proposes a neural network model whose architecture is constrained by the known cortico-striato-thalamo-cortical (CSTC) neuroanatomy of the human language system, and discusses the context of a brain architecture for learning grammatical structure for multiple natural languages, and non-linguistic sequences.