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Publications

Cette page présente les publications du Centre Borelli déposées sur le serveur HAL.

Affichage des publications 311 à 320 sur 1268 au total

Computer Science

Modèles graphiques causaux interactifs pour les données textuelles

Nous proposons de reconstruire des modèles graphiques causaux à partir de données textuelles via un nouveau package Python appelé WordGraph. Ce package facilite l'exploration de grands corpus de documents par des visualisations interactives sous…

Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif

24ème conférence francophone sur l'Extraction et la Gestion des Connaissances -

Life Sciences

Population clustering of structural brain aging and its association with brain development

Abstract Structural brain aging has demonstrated strong inter-individual heterogeneity and mirroring patterns with brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, most of the existing research focused on…

Haojing Duan, Runye Shi, Jujiao Kang, Tobias Banaschewski, Arun Bokde, Christian Büchel, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sarah Hohmann, Nathalie Holz, Juliane Fröhner, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Xiaolei Lin, Jianfeng Feng, Dimitri Papadopoulos Orfanos

Life Sciences

The genetic architecture of the human hypothalamus and its involvement in neuropsychiatric behaviours and disorders

Despite its crucial role in the regulation of vital metabolic and neurological functions, the genetic architecture of the hypothalamus remains unknown. Here we conducted multivariate genome-wide association studies (GWAS) using hypothalamic imaging…

Shi-Dong Chen, Jia You, Wei Zhang, Bang-Sheng Wu, Yi-Jun Ge, Shi-Tong Xiang, Jing Du, Kevin Kuo, Tobias Banaschewski, Gareth Barker, Arun Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Herve Lemaitre, Tomáš Paus, Luise Poustka, Sarah Hohmann, Sabina Millenet, Christian Baeuchl, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Jian-Feng Feng, Qiang Dong, Wei Cheng, Jin-Tai Yu

Nature Human Behaviour -

Neuroscience

Heterogeneities of the perceptual-motor style during locomotion at height

In a recent review, we summarized the characteristics of perceptual-motor style in humans. Style can vary from individual to individual, task to task and pathology to pathology, as sensorimotor transformations demonstrate considerable adaptability…

Danping Wang, Ioannis Bargiotas, Jiuwen Cao, Nicolas Vayatis, Laurent Oudre, Pierre-Paul Vidal

Frontiers in Human Neuroscience -

Life Sciences

The relationship between negative life events and cortical structural connectivity in adolescents

Adolescence is a crucial period for physical and psychological development. The impact of negative life events represents a risk factor for the onset of neuropsychiatric disorders. This study aims to investigate the relationship between negative…

Francesca Sibilia, Coline Jost-Mousseau, Tobias Banaschewski, Gareth Barker, Christian Büchel, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sabina Millenet, Juliane Fröhner, Michael Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Arun L.W. Bokde

IBRO Neuroscience Reports -

Computer Science

ADAPT : Awesome Domain Adaptation Python Toolbox

In this paper, we introduce the ADAPT library, an open source Python API providing the implementation of the main transfer learning and domain adaptation methods. The library is designed with a user friendly approach to facilitate the access to…

Antoine de Mathelin, Mounir Atiq, Guillaume Richard, Alejandro de la Concha, Mouad Yachouti, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

Computer Science

Maximum Weight Entropy

This paper deals with uncertainty quantification and out-of-distribution detection in deep learning using Bayesian and ensemble methods. It proposes a practical solution to the lack of prediction diversity observed recently for standard approaches…

Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis