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CORDIS - Risultati della ricerca dell’UE
CORDIS

Accelerating Neuroscience Research by Unifying Knowledge Representation and Analysis Through a Domain Specific Language

Risultati finali

Data Management Plan

This deliverable is composed of three axes: 1) Software deliverable: software developed by this action will be, after publication, release publicly under a licence appropriate for it's distribution. For this within the first 6 months we will set up a repository to distribute the software produced during this project. 2) Referencing of publicly available data used: Publicly available data used by this project will be referenced to allow others it's precise identification and the reproduction of results generated by this project. The datasets used during this project will be decided during the first 6 months such that they will be publicly accessible under reasonable conditions. 3) Distribution of generated data: Data generated by this project will be released in platforms such as OpenAire with a licence allowing it's use under reasonable conditions. Within the first 6 months the distribution channels and desired licence for generated data will be decided.

Pubblicazioni

Complex Coordinate-Based Meta-Analysis with Probabilistic Programming

Autori: Iovene, Valentin; Zanitti, Gaston; Wassermann, Demian
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Editore: Association for the Advancement of Artificial Intelligence
DOI: 10.1609/aaai.v35i1.16096

Probabilistic Programming in neurolang: Bridging the Gap Between Cognitive Science and Statistical Modeling

Autori: Valentin Iovene; Demian Wassermann
Pubblicato in: Organization for Human Brain Mapping, 2019
Editore: Organization for Human Brain Mapping

Verifying ontological knowledge through meta-analysis: Study cases of Pain and Consciousness

Autori: ZANITTI, Gaston; IOVENE, Valentin; WASSERMANN, Demian
Pubblicato in: https://hal.inria.fr/hal-03216621, Numero 1, 2021
Editore: Organisation for Human Brain Mapping

Text to Brain: Predicting the Spatial Distribution of Neuroimaging Observations from Text Reports

Autori: Jérôme Dockès, Demian Wassermann, Russell Poldrack, Fabian Suchanek, Bertrand Thirion, Gaël Varoquaux
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, Numero 11072, 2018, Pagina/e 584-592, ISBN 978-3-030-00930-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-00931-1_67

A Novel Sulcal Hierarchy Based on Manually Labelled Sulci

Autori: Machlouzarides-Shalit, Antonia; Iovene, Valentin; Makris, Nikos; Wassermann, Demian
Pubblicato in: Organization for Human Brain Mapping, 2019
Editore: Organization for Human Brain Mapping

ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models

Autori: Rouillard, Louis; Wassermann, Demian
Pubblicato in: International Conference in Leraning Representations, 2021
Editore: International Conference in Leraning Representations
DOI: 10.48550/arxiv.2106.12248

Fine-grain atlases of functional modes for fMRI analysis

Autori: Kamalaker Dadi, Gaël Varoquaux, Antonia Machlouzarides-Shalit, Krzysztof J. Gorgolewski, Demian Wassermann, Bertrand Thirion, Arthur Mensch
Pubblicato in: NeuroImage, Numero 221, 2020, Pagina/e 117126, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2020.117126

Meta-Analysis of the Functional Neuroimaging Literature with Probabilistic Logic Programming

Autori: Majd Abdallah; Valentin Iovene; Gaston Zanitti; Demian Wassermann
Pubblicato in: Scientific Reports, Numero 20452322, 2022, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1101/2022.02.25.481931

Functional gradients in the human lateral prefrontal cortex revealed by a comprehensive coordinate-based meta-analysis

Autori: Majd Abdallah; Gaston Zanitti; Valentin Iovene; Demian Wassermann
Pubblicato in: eLife, Numero 2050084X, 2022, ISSN 2050-084X
Editore: eLife Sciences Publications
DOI: 10.7554/elife.76926

The visual word form area (VWFA) is part of both language and attention circuitry

Autori: Lang Chen, Demian Wassermann, Daniel A. Abrams, John Kochalka, Guillermo Gallardo-Diez, Vinod Menon
Pubblicato in: Nature Communications, Numero 10/1, 2019, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-019-13634-z

A comparison of three fiber tract delineation methods and their impact on white matter analysis

Autori: Valerie J. Sydnor, Ana María Rivas-Grajales, Amanda E. Lyall, Fan Zhang, Sylvain Bouix, Sarina Karmacharya, Martha E. Shenton, Carl-Fredrik Westin, Nikos Makris, Demian Wassermann, Lauren J. O'Donnell, Marek Kubicki
Pubblicato in: NeuroImage, Numero 178, 2018, Pagina/e 318-331, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2018.05.044

Foundational number sense training gains are predicted by hippocampal–parietal circuits

Autori: Hyesang Chang; Lang Chen; Yuan Zhang; Ye Xie; Carlo de Los Angeles; Emma Adair; Gaston Zanitti; Demian Wassermann; Miriam Rosenberg-Lee; Vinod Menon
Pubblicato in: Journal of Neuroscience, Numero 02706474, 2022, ISSN 0270-6474
Editore: Society for Neuroscience
DOI: 10.1523/jneurosci.1005-21.2022

Microstructural organization of human insula is linked to its macrofunctional circuitry and predicts cognitive control

Autori: Vinod Menon, Guillermo Gallardo, Mark A Pinsk, Van-Dang Nguyen, Jing-Rebecca Li, Weidong Cai, Demian Wassermann
Pubblicato in: eLife, Numero 9, 2020, ISSN 2050-084X
Editore: eLife Sciences Publications
DOI: 10.7554/elife.53470

Probabilistic Logic for Coordinate-Based Meta-Analysis of Functional Segregation in the Brain

Autori: Majd Abdallah; Valentin Iovene; Demian Wassermann
Pubblicato in: Organization for Human Brain Mapping, 2022
Editore: Organization for Human Brain Mapping

PAVI: Plate-Amortized Variational Inference

Autori: Rouillard, Louis; Moreau, Thomas; Wassermann, Demian
Pubblicato in: ArXiv, 2022
Editore: ArXiV
DOI: 10.48550/arxiv.2206.05111

Bridging the Gap: From Neuroanatomical Knowledge to Tractography of Brain Pathways

Autori: Guillermo Gallardo, Demian Wassermann, Alfred Anwander
Pubblicato in: BioRxiv, 2020
Editore: BioRxiv
DOI: 10.1101/2020.08.01.232116

Probabilistic Programming in neurolang: Bridging the Gap Between Cognitive Science and Statistical Modeling

Autori: Valentin Iovene, Demian Wassermann
Pubblicato in: Organisation for Human Brain Mapping, Numero Yearly, 2020
Editore: Organisation for Human Brain Mapping

Sensing Von Economo Neurons in the Insula with Multi-shell Diffusion MRI

Autori: Wassermann , Demian; Nguyen , Dang Van; Gallardo , Guillermo; Li , Jing-Rebecca; Cai , Weidong; Menon , Vinod
Pubblicato in: International Society for Magnetic Resonance in Medicine, Numero 1, 2019
Editore: International Society for Magnetic Resonance in Medicine

A Novel Sulcal Hierarchy Based on Manually Labelled Sulci

Autori: Antonia Machlouzarides-Shalit, Valentin Iovene, Nikos Makris, Demian Wassermann
Pubblicato in: Organization for Human Brain Mapping, Numero Yearly, 2019
Editore: Organization for Human Brain Mapping

Quantitative modeling links in vivo microstructural and macrofunctional organization of human and macaque insular cortex, and predicts cognitive control abilities

Autori: Vinod Menon, Gallardo Guillermo, Mark A. Pinsk, Van-Dang Nguyen, Jing-Rebecca Li, Weidong Cai, Demian Wassermann
Pubblicato in: BioRxiv, 2019
Editore: BioRxiv
DOI: 10.1101/662601

Scalable Query Answering under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach

Autori: Zanitti, Gaston; Soto, Yamil; Iovene, Valentin; Martinez, Maria Vanina; Rodriguez, Ricardo; Simari, Gerardo; Wassermann, Demian
Pubblicato in: ArXiv, 2022
Editore: ArXiv
DOI: 10.48550/arxiv.2202.11333

NeuroLang: Representing Neuroanatomy with Sulcus-Specific Queries

Autori: Antonia Machlouzarides-Shalit, Nikos Makris, Gaston Zanitti, Valentin Iovene, Guillaume Lemaitre, Guillaume Favelier, Demian Wassermann
Pubblicato in: Organization for the Human Brain Mapping, Numero Yearly, 2020
Editore: Organisation for the Human Brain Mapping

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