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5 results on '"MATRICE Project (ISC-PIF)"'

1. Eye-tracking and learning experience: gaze trajectories to better understand the behavior of memorial visitors

Author

Salma Mesmoudi, Stanislas Hommet, Denis Peschanski, MATRICE Project (ISC-PIF), Université Paris 1 Panthéon-Sorbonne (UP1), Institut des Systèmes Complexes - Paris Ile-de-France (ISC-PIF), École normale supérieure - Cachan (ENS Cachan)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-Université Pierre et Marie Curie - Paris 6 (UPMC)-École polytechnique (X)-Institut Curie [Paris]-Centre National de la Recherche Scientifique (CNRS), Centre européen de sociologie et de science politique (CESSP), Université Paris 1 Panthéon-Sorbonne (UP1)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS), Théodile-CIREL, Centre Interuniversitaire de Recherche en Education de Lille - ULR 4354 (CIREL), Université de Lille-Université de Lille, Centre National de la Recherche Scientifique (CNRS), Outils de recherche pour l'analyse de la mémoire par la coopération internationale et les expérimentations. Entre mémoire individuelle et mémoire sociale: les outils et nécessités de l'innovation [En savoir plus]MATRICE - ANR-10-EQPX-0021EQPX - 2010, and ANR-10-EQPX-0021,MATRICE,Outils de recherche pour l'analyse de la mémoire par la coopération internationale et les expérimentations. Entre mémoire individuelle et mémoire sociale: les outils et nécessités de l'innovation(2010)

Subjects
Applied psychology, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, [SHS]Humanities and Social Sciences, Region of interest, gaze trajectories, 0502 economics and business, 050207 economics, Cluster analysis, eye movement, memorial, eye-tracking, 050208 finance, Visitor pattern, eye movement eye-tracking saccades gaze trajectories memorial attention text-mining focus group museum, museum, QM1-695, 05 social sciences, text-mining, Eye movement, Focus group, Gaze, saccades, Sensory Systems, attention, Ophthalmology, Human anatomy, Eye tracking, focus group, Psychology, Knowledge transfer, Research Article
Abstract

Eye-tracking technology is increasingly introduced in museums to assess their role in learning and knowledge transfer. However, their use provide limited quantitative and/or qualitative measures such as viewing time and/or gaze trajectory on an isolated object or image (Region of Interest "ROI"). The aim of this work is to evaluate the potential of the mobile eye-tracking to quantify the students’ experience and behaviors through their visit of the "Genocide and mass violence" area of the Caen memorial. In this study, we collected eye-tracking data from 17 students during their visit to the memorial. In addition, all visitors filled out a questionnaire before the visit, and a focus group was conducted before and after the visit. The first results of this study allowed us to analyze the viewing time spent by each visitor in front of 19-selected ROIs, and some of their specific sub-parts. The other important result was the reconstruction of the gaze trajectory through these ROIs. Our global trajectory approach allowed to complete the information obtained from an isolated ROI, and to identify some behaviors such as avoidance. Clustering analysis revealed some typical trajectories performed by specific sub-groups. The eye-tracking results were consolidated by the participants' answers during the focus group.

Published
2020
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2. Brainhack: A collaborative workshop for the open neuroscience community

Author

Caroline Froehlich, David H. O’Connor, Robert C. Welsh, Sook-Lei Liew, Katharine Dunlop, Angela R. Laird, Yonggang Shi, Satrajit S. Ghosh, John W. Van Meter, Pierre-Olivier Quirion, Lucina Q. Uddin, R. Matthew Hutchison, Pierre Bellec, Salma Mesmoudi, Christopher J. Cannistraci, Maarten Mennes, Jonathan Downar, Sebastien Dery, Donald G. McLaren, Ariel Rokem, Prantik Kundu, Daniel S. Margulies, Fernando A. Barrios, Alexandre Rosa Franco, Ramon Fraga Pereira, Andrew J. Gerber, B. Nolan Nichols, R. Cameron Craddock, Erick H. Pasaye, Ziad S. Saad, Felipe Meneguzzi, Benjamin De Leener, Thomas J. Grabowski, Sean Hill, Sarael Alcauter, Julien Cohen-Adad, Daniel J. Lurie, Gautam Prasad, Roberto Toro, Ting Xu, John D. Van Horn, Yves Burnod, Anibal Sólon Heinsfeld, Jean-Baptiste Poline, Scott Peltier, Stephen C. Strother, Nathan S. Kline Institute for Psychiatric Research (NKI), New York State Office of Mental Health, Child Mind Institute, The Neuro Bureau [Leipzig], Max Planck Institute for Human Cognitive and Brain Sciences [Leipzig] (IMPNSC), Max-Planck-Gesellschaft, Université de Montréal (UdeM), Centre de recherche de l'Institut universitaire de gériatrie de Montreal (CRIUGM), Silsoe Research Institute (SRI), Biotechnology and Biological Sciences Research Council, Stanford University, Universidad Nacional Autónoma de México (UNAM), Laboratoire d'Imagerie Biomédicale (LIB), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut des Systèmes Complexes - Paris Ile-de-France (ISC-PIF), École normale supérieure - Cachan (ENS Cachan)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut Curie [Paris]-École polytechnique (X), Icahn School of Medicine at Mount Sinai [New York] (MSSM), École Polytechnique de Montréal (EPM), McGill University = Université McGill [Montréal, Canada], University Health Network, University of Toronto, Pontifícia Universidade Católica do Rio Grande do Sul [Porto Alegre] (PUCRS), New York State Psychiatric Institute, Columbia University [New York], McGovern Institute for Brain Research [Cambridge], Massachusetts Institute of Technology (MIT), Harvard Medical School [Boston] (HMS), University of Washington [Seattle], International Neuroinformatics Coordinating Facility, Karolinska Institutet [Stockholm], Harvard University [Cambridge], Florida International University [Miami] (FIU), University of Southern California (USC), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Biospective [Montréal], Massachusetts General Hospital [Boston], Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], MATRICE Project (ISC-PIF), Sorbonnes university Paris 1, University of Michigan [Ann Arbor], University of Michigan System, The Helen Wills Neuroscience Institute (HWNI), University of California [Berkeley], University of California-University of California, Keck School of Medicine [Los Angeles], eScience Institute Seattle, National Institute of mental health , Bethesda, Rotman Research Institute at the Baycrest Centre (RRI), Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Miami University, Miami University [Ohio] (MU), University of Miami Leonard M. Miller School of Medicine (UMMSM), Georgetown University Medical Center, We would also like to thank our sponsors, whose funds have been used to enrich the educational experience at Brainhack and have provided travel support for attendees. These include (in alphabetical order): Allen Institute for Brain Science (OHBM 2013), Amazon Web Services (OHBM 2013, OHBM 2014, Boston 2014, Brainhack AMX 2015), Athinoula A. Martinos Center for Biomedical Imaging (Boston 2014), Child Mind Institute, Inc. (NYC 2014, NYC 2015, MX 2015), FIU Division of Research (Miami 2014), Frontiers (OHBM 2014), Frontiers in Neuroscience (OHBM 2013), International Neuroinformatics Coordinating Facility (OHBM 2013, OHBM 2014, OHBM 2015, MX 2015), MATRICE (Paris 2013), Max Planck Institute for Cognitive and Brain Sciences (Leipzig 2012), Microsoft Azure (OHBM 2015), NIH BD2K Center (1U54EB020406-01) Big Data for Discovery Science (USC, PI: Toga, LA 2015), NIH BD2K Center (1U54EB020403-01) Enigma Center for Worldwide Medicine, Imaging, and Genomics (USC, PI: Thompson, LA 2015), NIH BD2K Supplement for NCANDA (3U01AA021697-04S1) and NCANDA: Data Analysis Component (5U01AA021697-04) (SRI International, PI: Pohl, OHBM2015, MX 2015), Organization for Human Brain Mapping (OHBM 2013, OHBM 2014, OHBM 2015), Ontario Brain Institute (Toronto 2014), Quebec Bio-Imaging Network (MTL 2014, MTL 2015), Siemens (Paris 2013), and University of Miami Flipse Funds (Miami 2015).References, HAL UPMC, Gestionnaire, Biotechnology and Biological Sciences Research Council (BBSRC), Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Cachan (ENS Cachan)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-Université Pierre et Marie Curie - Paris 6 (UPMC)-École polytechnique (X)-Institut Curie [Paris]-Centre National de la Recherche Scientifique (CNRS), Pontifical Catholic University of Rio Grande do Sul (PUC-RS), Radboud University [Nijmegen], Université Paris 1 Panthéon-Sorbonne (UP1), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), McGovern Institute for Brain Research at MIT, Ghosh, Satrajit S., Laboratoire d'Imagerie Biomédicale [Paris] (LIB), Harvard University, and ANR-16-EQPX-0003,Matrice - 13 novembre,Matrice - 13 novembre(2016)

Subjects
0301 basic medicine, Open science, Biomedical Research, Computer science, International Cooperation, Health Informatics, Review, Education, 03 medical and health sciences, Networking, 0302 clinical medicine, Humans, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Cooperative Behavior, Hackathon, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Neurosciences, 220 Statistical Imaging Neuroscience, Brain, Computational Biology, Congresses as Topic, Unconference, Data science, Collaboration, Research Personnel, Computer Science Applications, Data sharing, 030104 developmental biology, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neuroscience, 030217 neurology & neurosurgery
Abstract

Contains fulltext : 167121.pdf (Publisher’s version ) (Open Access) Brainhack events offer a novel workshop format with participant-generated content that caters to the rapidly growing open neuroscience community. Including components from hackathons and unconferences, as well as parallel educational sessions, Brainhack fosters novel collaborations around the interests of its attendees. Here we provide an overview of its structure, past events, and example projects. Additionally, we outline current innovations such as regional events and post-conference publications. Through introducing Brainhack to the wider neuroscience community, we hope to provide a unique conference format that promotes the features of collaborative, open science.

Published
2016
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3. LinkRbrain: Multi-scale data integrator of the brain

Author

Yves Burnod, Mathieu Rodic, Salma Mesmoudi, Jean-Philippe Cointet, Tal Yarkoni, Claudia Cioli, MATRICE Project (ISC-PIF), Sorbonnes university Paris 1, Laboratoire d'Imagerie Biomédicale (LIB), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Sciences en Société (SenS), Institut National de la Recherche Agronomique (INRA), Department of Psychology, University of Texas at Austin [Austin], Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), National Agency for research (ANR 'Investissement Avenir'), MATRICE project, Administateur, HAL Sorbonne Université, Université Paris 1 Panthéon-Sorbonne (UP1), Laboratoire d'Imagerie Biomédicale [Paris] (LIB), Outils de recherche pour l'analyse de la mémoire par la coopération internationale et les expérimentations. Entre mémoire individuelle et mémoire sociale: les outils et nécessités de l'innovation [En savoir plus]MATRICE - ANR-10-EQPX-0021EQPX - 2010, and ANR-10-EQPX-0021,MATRICE,Outils de recherche pour l'analyse de la mémoire par la coopération internationale et les expérimentations. Entre mémoire individuelle et mémoire sociale: les outils et nécessités de l'innovation(2010)

Subjects
Complex systems, Databases, Factual, Computer science, computer.software_genre, Brain mapping, Article, Software, Platform, Genetics, Integrative, Data Mining, Humans, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Multi-scale, Brain Mapping, Internet, business.industry, Gene Expression Profiling, General Neuroscience, Brain, Anatomo-functional, Magnetic Resonance Imaging, Visualization, Open databases, Integrator, The Internet, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neural Networks, Computer, Data mining, business, Scale (map), computer, Data integration
Abstract

International audience; BackgroundLinkRbrain is an open-access web platform for multi-scale data integration and visualization of human brain data. This platform integrates anatomical, functional, and genetic knowledge produced by the scientific community.New methodThe linkRbrain platform has two major components: (1) a data aggregation component that integrates multiple open databases into a single platform with a unified representation; and (2) a website that provides fast multi-scale integration and visualization of these data and makes the results immediately available.ResultsLinkRbrain allows users to visualize functional networks or/and genetic expression over a standard brain template (MNI152). Interrelationships between these components based on topographical overlap are displayed using relational graphs. Moreover, linkRbrain enables comparison of new experimental results with previous published works.Comparison with existing methodsPrevious tools and studies illustrate the opportunities of data mining across multiple tiers of neuroscience and genetic information. However, a global systematic approach is still missing to gather cognitive, topographical, and genetic knowledge in a common framework in order to facilitate their visualization, comparison, and integration.ConclusionsLinkRbrain is an efficient open-access tool that affords an integrative understanding of human brain function.

Published
2015
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4. Emergence of Frontiers in networked Schelling segregationist models

Author

Collard, Philippe, Mesmoudi, Salma, Ghetiu, Teodor, Polack, Fiona, Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Groupe SCOBI, Modèles Discrets pour les Systèmes Complexes (Laboratoire I3S - MDSC), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), MATRICE Project (ISC-PIF), Sorbonnes university Paris 1, Centre for Plant Integrative Biology, University of Nottingham, UK (UON), Department of Computer Science [York] (CS-YORK), University of York [York, UK], and York Centre for Complex Systems Analysis University of York, UK and Institut des Systèmes Complexes - Paris Ile-de-France, France

Subjects
[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract

International audience; The relation between individuality and aggregation is an important topic in complex systems sciences, both aspects being facets of emergence. This topic has frequently been addressed by adopting a classical, individual versus population level perspective. Here, however, the frontiers that emerge in segregated communities are the focus; segregation is synonymous with the existence of frontiers that delineate and interface aggregates. A generic agent-based model is defined, with which we simulate communities located on grid and scale-free networked environments. Emerging frontiers are analyzed in terms of their relative occupancy, porosity, and permeability. Results emphasize that the frontier is highly sensitive to the topology of the environment, not only to the agent tolerance. These relations are clarified while addressing the topics of frontier robustness and the trade-off between its capacity to separate and allow exchange.

Published
2013

5. LinkRbrain: multi-scale data integrator of the brain.

Author

Mesmoudi S, Rodic M, Cioli C, Cointet JP, Yarkoni T, and Burnod Y

Subjects
Brain anatomy & histology, Brain Mapping methods, Data Mining methods, Gene Expression Profiling methods, Humans, Internet trends, Magnetic Resonance Imaging methods, Magnetic Resonance Imaging trends, Software trends, Brain physiology, Brain Mapping trends, Data Mining trends, Databases, Factual trends, Gene Expression Profiling trends, Neural Networks, Computer
Abstract

Background: LinkRbrain is an open-access web platform for multi-scale data integration and visualization of human brain data. This platform integrates anatomical, functional, and genetic knowledge produced by the scientific community., New Method: The linkRbrain platform has two major components: (1) a data aggregation component that integrates multiple open databases into a single platform with a unified representation; and (2) a website that provides fast multi-scale integration and visualization of these data and makes the results immediately available., Results: LinkRbrain allows users to visualize functional networks or/and genetic expression over a standard brain template (MNI152). Interrelationships between these components based on topographical overlap are displayed using relational graphs. Moreover, linkRbrain enables comparison of new experimental results with previous published works., Comparison With Existing Methods: Previous tools and studies illustrate the opportunities of data mining across multiple tiers of neuroscience and genetic information. However, a global systematic approach is still missing to gather cognitive, topographical, and genetic knowledge in a common framework in order to facilitate their visualization, comparison, and integration., Conclusions: LinkRbrain is an efficient open-access tool that affords an integrative understanding of human brain function., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Published
2015
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