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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 Identifying Causal Relationships Between Behavior and Local Brain Activity During Natural Conversation Hmamouche, Youssef; Prevot, Laurent; Magalie, Ochs... In: Interspeech 2020 ; https://hal.archives-ouvertes.fr/hal-03016922 ; Interspeech 2020, Oct 2020, Shanghai, China. pp.101-105, ⟨10.21437/Interspeech.2020-2074⟩ (2020) BASE Show details 2 BrainPredict: a Tool for Predicting and Visualising Local Brain Activity Hmamouche, Youssef; Prevot, Laurent; Ochs, Magalie; Chaminade, Thierry In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-03016059 ; Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pp.11 - 16, 2020 ; https://www.aclweb.org/anthology/2020.lrec-1.84/ (2020) Abstract: International audience ; In this paper, we present a tool allowing dynamic prediction and visualization of an individual's local brain activity during a conversation. The prediction module of this tool is based on classifiers trained using a corpus of human-human and human-robot conversations including fMRI recordings. More precisely, the module takes as input behavioral features computed from raw data, mainly the participant and the interlocutor speech but also the participant's visual input and eye movements. The visualisation module shows in real-time the dynamics of brain active areas synchronised with the behavioral raw data. In addition, it shows which integrated behavioral features are used to predict the activity in individual brain areas. Keyword: [SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; [SCCO.NEUR]Cognitive science/Neuroscience; [SCCO]Cognitive science; brain activity; conversation; human-robot interactions; predictions URL: https://hal.archives-ouvertes.fr/hal-03016059 https://hal.archives-ouvertes.fr/hal-03016059/file/Hmamouche_LREC2020.pdf https://hal.archives-ouvertes.fr/hal-03016059/document BASE Hide details

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