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    • Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay (2)
    • Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) (2)
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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 Meta-Analysis of the Functional Neuroimaging Literature with Probabilistic Logic Programming Abdallah, Majd; Iovene, Valentin; Zanitti, Gaston; Wassermann, Demian In: https://hal.archives-ouvertes.fr/hal-03590714 ; 2022 (2022) Abstract: International audience ; Inferring reliable brain-behavior associations requires synthesizing evidence from thousands of functional neuroimaging studies through meta-analysis. However, existing meta-analysis tools are limited to investigating simple neuroscience concepts and expressing a restricted range of questions. Here, we expand the scope of neuroimaging meta-analysis by designing NeuroLang: a domain-specific language to express and test hypotheses using probabilistic first-order logic programming. By leveraging formalisms found at the crossroads of artificial intelligence and knowledge representation, NeuroLang provides the expressivity to address a larger repertoire of hypotheses in a meta-analysis, while seamlessly modelling the uncertainty inherent to neuroimaging data. We demonstrate the language's capabilities in conducting comprehensive neuroimaging meta-analysis through use-case examples that address questions of structure-function associations. Specifically, we infer the specific functional roles of three canonical brain networks, support the role of the visual word-form area in visuospatial attention, and investigate the heterogeneous organization of the fronto-parietal control network. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]; [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging; [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences; Domain-specific language; Knowledge Representation; Meta-Analysis; Neuroimaging; Neuroinformatics; Probabilistic logic programming URL: https://hal.archives-ouvertes.fr/hal-03590714/file/Manuscript.pdf https://hal.archives-ouvertes.fr/hal-03590714 https://hal.archives-ouvertes.fr/hal-03590714/document BASE Hide details 2 The visual word form area (VWFA) is part of both language and attention circuitry Chen, Lang; Wassermann, Demian; Abrams, Daniel... In: ISSN: 2041-1723 ; EISSN: 2041-1723 ; Nature Communications ; https://hal.inria.fr/hal-02401938 ; Nature Communications, Nature Publishing Group, 2019, 10 (1), ⟨10.1038/s41467-019-13634-z⟩ (2019) BASE Show details

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