Livrables
Data acquisition will consist on motion capture video recordings electroencephalography NIRS Near Infrared Spectroscopy fMRI electromyography and autonomic activity Extraction of behavioral and physiological indexes of action prediction will be basedupon computational pipelines inspired to Becchio et al 2017 and to Granger causality indexes of sensorimotor information exchange see the computational pipeline described in DAusilio et al 2012 Badino et al 2014
Final evaluation report - Phase 2Summative evaluation will be carried out in the final part of the project and will produce the final evaluation report It may also consist of participation in contests and hackathons where teams are supported by the developed technology
Ethics requirements and proceduresA document containing the procedures adopted in EnTimeMent for ethically responsible research, and for recruiting participants, for informed consent, and for data protection, to be used in the first round of experiments.
Proof-of-Concept Testing and Validation in chronic pain management in everyday life - Phase 1Summative evaluation of the EnTimeMent proofofconcepts carried out in a series of short lab and in situ studies comprising interviews with and observations of users of thetechnology and an evaluation of the effectiveness and efficiency of the users and their satisfaction while performing the envisaged activities
Updated data management planA revised and final version of the plan for making data findable accessible interoperable and reusable
Proof-of-Concept Testing and Validation in healing and everyday life support of disabled - Phase 2Summative evaluation of the EnTimeMent proofofconcepts carried out in a series of short lab and in situ studies comprising interviews with and observations of users of thetechnology and an evaluation of the effectiveness and efficiency of the users and their satisfaction while performing the envisaged activities
Dissemination & Communication planPlanning of Dissemination & Communication activities during the first year of the project, as well as execution and reporting of the planned Dissemination and Communication Activities, including presentation of scientific papers in top-level international conferences and journals, public events and workshops including the EU FET Conference.
Final evaluation report - Phase 1Summative evaluation will be carried out in the final part of the project and will produce the final evaluation report It may also consist of participation in contests and hackathons where teams are supported by the developed technology
Updated ethics requirements and proceduresA revision of D71 taking into account the results of quality control to improve operational ethics procedures to be used in the second round of basic research technological developments experiments and scenarios if necessary
Project management handbook and quality assurance manualA report summarising the activities carried out in the first reporting period.
Research requirements for laboratory and ecological experimental scenarios - Phase 2Refinement of research requirements after the first experiments, according to the obtained feedback and results.
Research requirements for laboratory and ecological experimental scenarios - Phase 1Research requirements for the project, definition of hypotheses for experiments, detailed description of experimental scenarios (technical needs, algorithms required for feature extraction and data analysis), procedures for assessment and evaluation.
Models and algorithms - Phase 1Elaboration of multitemporal predictive models in the context of dyadic and group interaction
Final ethics requirements and proceduresA revision of D71 and D72 containing the ethics procedures to be used in the final summative evaluation
Predictions of multi-scale, temporally aggregated, social-motor synchronization models - Phase 3Experiments exploring the multiscale nature of human action
Data acquisition analytic tools for IMS & GMSData acquisition will consist on motion capture video recordings electromyographyelectroencephalography NIRS Extraction of behavioral and physiological indexes at multiple time scales revealing a Individual Motor Signature IMS of how we move in synchrony will be based upon the use of Multidimensional scaling Analysis and Similarity Space techniques during solo duo and group sensorimotor exchanges see the computational pipeline described in Slowinski et al 2016 2017 GMS indexGroup Motor Signature will be developed based on multiscale IMS index in order to analyse data collected in WP2 and evaluate movement qualities cascading from milliseconds to minutes
Stakeholders Management and Project ClusteringCreation of a Stakeholders Panel comprising Universities Research and Technological Development Institutes innovative SMEs large Industrial Companies and other Policy Making organizations which will be associated to the project and follow its developments and dissemination activities
Data acquisition analytic tools for individual actionsData acquisition will consist on motion capture, video recordings, electroencephalography, NIRS (Near Infrared Spectroscopy), fMRI, electromyography and autonomic activity. Extraction of behavioral and physiological indexes of action prediction will be based upon computational pipelines inspired to (Becchio et al., 2017) and to Granger causality indexes of sensorimotor information exchange (see the computational pipeline described in D’Ausilio et al., 2012; Badino et al., 2014).
Data management planFirst draft of the plan for making data findable, accessible, interoperable and reusable.
Proof-of-Concept Testing and Validation in dance, living architectures, sports and entertainment - Phase 2Summative evaluation of the EnTimeMent proofofconcepts carried out in a series of short lab and in situ studies comprising interviews with and observations of users of thetechnology and an evaluation of the effectiveness and efficiency of the users and their satisfaction while performing the envisaged activities
Predictions of multi-scale, temporally aggregated, social-motor synchronization models - Phase 1Experiments exploring the multi-scale nature of human action.
Models and algorithms - Phase 2Elaboration of multitemporal predictive models in the context of dyadic and group interaction
Proof-of-Concept Testing and Validation in dance, living architectures, sports and entertainment - Phase 1Summative evaluation of the EnTimeMent proofofconcepts carried out in a series of short lab and in situ studies comprising interviews with and observations of users of thetechnology and an evaluation of the effectiveness and efficiency of the users and their satisfaction while performing the envisaged activities
Models and algorithms - Phase 3Elaboration of multitemporal predictive models in the context of dyadic and group interaction
Proof-of-Concept Testing and Validation in healing and everyday life support of disabled - Phase 1Summative evaluation of the EnTimeMent proofofconcepts carried out in a series of short lab and in situ studies comprising interviews with and observations of users of thetechnology and an evaluation of the effectiveness and efficiency of the users and their satisfaction while performing the envisaged activities
Data acquisition analytic tools for joint actionsData acquisition will consist on motion capture video recordings electroencephalography NIRS Near Infrared Spectroscopy fMRI electromyography and autonomic activity Extraction of behavioral and physiological indexes of action prediction will be basedupon computational pipelines inspired to Becchio et al 2017 and to Granger causality indexes of sensorimotor information exchange see the computational pipeline described in DAusilio et al 2012 Badino et al 2014
Report on Dissemination Activities, Conferences and other EventsReporting of the planned Dissemination and Communication Activities includingpresentation of scientific papers in toplevel international conferences and journals public events and workshops including the EU FET Conference
Predictions of multi-scale, temporally aggregated, social-motor synchronization models - Phase 2Experiments exploring the multiscale nature of human action
Proof-of-Concept Testing and Validation in chronic pain management in everyday life - Phase 2Summative evaluation of the EnTimeMent proofofconcepts carried out in a series of short lab and in situ studies comprising interviews with and observations of users of thetechnology and an evaluation of the effectiveness and efficiency of the users and their satisfaction while performing the envisaged activities
The platform will integrate the sensor systems adopted in the project including motion capture multichannel video and audio recordings electroencephalography NIRS electromyography and autonomic activity to support the software libraries for analysis and measures of entrainment and prediction at multiple temporal scales
Results on prediction in action execution and observation - Phase 2Testing whether neurobehavioral MoCap EMG EEG TMS fNIRS and autonomic indexes GSR HRV describing the pragmatic details and emotional valence of the distal action goal are anticipatorily modulated both in action execution and observation
Results on prediction in complex action execution and observation - Phase 1Exploring the existence of multiple channels of sensorimotor communication acting at different timescales during group synchronization situations Investigating if these timescales allow different behavioural prediction at the individual and group level and which one of them correlates with the autonomic indexes reflecting the affective dimension of group coordination Evaluating whether the IMS Individual Motor Signature Slowinski et al 2016 and GMS Group Motor Signature and their dynamics at multiple timescales express the movement social and affective qualities of the complex action of interest
Results on prediction in dyadic action execution and observation - Phase 2Extrapolating the kinematics features MoCap EMG autonomic responses GSR HRV and neural antecedents EEGfNIRS used to predict the expressive content of others actions
EnTimeMent platform and software libraries for multi-time analysis, entrainment, and prediction - Phase 1The platform will integrate the sensor systems adopted in the project (including motion capture, multichannel video and audio recordings, electroencephalography, NIRS, electromyography and autonomic activity) to support the software libraries for analysis and measures of entrainment and prediction at multiple temporal scales.
Results on prediction in dyadic action execution and observation - Phase 1Extrapolating the kinematics features MoCap EMG autonomic responses GSR HRV and neural antecedents EEGfNIRS used to predict the expressive content of others actions
Results on prediction in action execution and observation - Phase 1Testing whether neurobehavioral MoCap EMG EEG TMS fNIRS and autonomic indexes GSR HRV describing the pragmatic details and emotional valence of the distal action goal are anticipatorily modulated both in action execution and observation
Annotated open-source datasetA data collection protocol will be defined to maximize the use of the collected data across WPs where possible The dataset will be annotated as needed to reflect the different temporalscale movements and related physiological and neural signals that needs to be captured and represented Part of the dataset will be opened to the community where ethics allows
Results on prediction in Complex Action execution and observation - Phase 2Exploring the existence of multiple channels of sensorimotor communication acting at different timescales during group synchronization situations Investigating if these timescales allow different behavioural prediction at the individual and group level and which one of them correlates with the autonomic indexes reflecting the affective dimension of group coordination Evaluating whether the IMS Individual Motor Signature Slowinski et al 2016 and GMS Group Motor Signature and their dynamics at multiple timescales express the movement social and affective qualities of the complex action of interest
EnTimeMent platform and software libraries for multi-time analysis, entrainment, and prediction - Phase 2The platform will integrate the sensor systems adopted in the project including motion capture multichannel video and audio recordings electroencephalography NIRS electromyography and autonomic activity to support the software libraries for analysis and measures of entrainment and prediction at multiple temporal scales
Qualisys will involve their users community and will include EnTimeMent events as main events in their consolidated Qualisys Users Workshops contributing to the consolidation of a multidisciplinary EnTimeMent users community
Hackathons and Users Community Workshops - Phase 1Qualisys will involve their users’ community, and will include EnTimeMent events as main events in their consolidated Qualisys Users Workshops, contributing to the consolidation of a multidisciplinary EnTimeMent users’ community.
Hackathons and Users Community Workshops - Phase 4Qualisys will involve their users’ community, and will include EnTimeMent events as main events in their consolidated Qualisys Users Workshops, contributing to the consolidation of a multidisciplinary EnTimeMent users’ community.
Hackathons and Users Community Workshops - Phase 2Qualisys will involve their users community and will include EnTimeMent events as main events in their consolidated Qualisys Users Workshops contributing to the consolidation of a multidisciplinary EnTimeMent users community
Summative evaluation of the EnTimeMent proof-of-concepts, carried out in a series of short lab and in situ studies, comprising interviews with and observations of users of thetechnology, and an evaluation of the effectiveness and efficiency of the users and their satisfaction, while performing the envisaged activities.Final demo proposal.
Proof-of-Concept Testing and Validation in chronic pain management in everyday life - Phase 3Summative evaluation of the EnTimeMent proof-of-concepts, carried out in a series of short lab and in situ studies, comprising interviews with and observations of users of thetechnology, and an evaluation of the effectiveness and efficiency of the users and their satisfaction, while performing the envisaged activities.Final demo proposal.
Proof-of-Concept Testing and Validation in healing and everyday life support of disabled - Phase 3Summative evaluation of the EnTimeMent proof-of-concepts, carried out in a series of short lab and in situ studies, comprising interviews with and observations of users of thetechnology, and an evaluation of the effectiveness and efficiency of the users and their satisfaction, while performing the envisaged activities.Final demo proposal.
EnTimeMent Website creation, updating, maintenance and support.
Publications
Auteurs:
Aline W. de Borst, Maria V. Sanchez-Vives, Mel Slater, Beatrice de Gelder
Publié dans:
eNeuro, Numéro Volume:7, Numéro:3, 2020, ISSN 2373-2822
Éditeur:
Society for Neuroscience
DOI:
10.1523/eneuro.0263-19.2019
Auteurs:
Marta Poyo Solanas, Maarten J. Vaessen, Beatrice de Gelder
Publié dans:
Scientific Reports, Numéro Volume:10, Numéro:1, 2020, ISSN 2045-2322
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41598-020-63125-1
Auteurs:
Laura Maffongelli, Elisabetta Ferrari, Eleonora Bartoli, Claudio Campus, Etienne Olivier, Luciano Fadiga, Alessandro D’Ausilio
Publié dans:
Behavioural Brain Research, Numéro Volume:378, Month:January, 2020, ISSN 0166-4328
Éditeur:
Elsevier BV
DOI:
10.1016/j.bbr.2019.112248
Auteurs:
Martin Clayton, Kelly Jakubowski, Tuomas Eerola, Peter E. Keller, Antonio Camurri, Gualtiero Volpe, Paolo Alborno
Publié dans:
Music Perception, Numéro Volume:38, Number:2, 2020, Page(s) 136-194, ISSN 0730-7829
Éditeur:
University of California at Berkeley
DOI:
10.1525/mp.2020.38.2.136
Auteurs:
Sanket Rajeev Sabharwal, Manuel Varlet, Matthew Breaden, Gualtiero Volpe, Antonio Camurri, Peter E. Keller
Publié dans:
IEEE Access, Numéro Volume:10, 2022, Page(s) 92357-92372, ISSN 2169-3536
Éditeur:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/access.2022.3202959
Auteurs:
C. Colomer, M. Dhamala, G. Ganesh, J. Lagarde
Publié dans:
Scientific Reports, Numéro Volume:12, 2022, Page(s) 1-12, ISSN 2045-2322
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41598-022-19500-1
Auteurs:
Ksenia Kolykhalova, Giorgio Gnecco, Marcello Sanguineti, Gualtiero Volpe, Antonio Camurri
Publié dans:
IEEE Transactions on Human-Machine Systems, Numéro Volume:50, Month:December, 2020, Page(s) 550-560, ISSN 2168-2291
Éditeur:
IEEE Systems, Man, and Cybernetics Society
DOI:
10.1109/thms.2020.3016085
Auteurs:
Pasquale Cardellicchio, Elisa Dolfini, Alessandro D'Ausilio
Publié dans:
iScience, Numéro Volume:24, 2021, ISSN 2589-0042
Éditeur:
Cell Press
DOI:
10.1016/j.isci.2021.103330
Auteurs:
Marta M. N. Bieńkiewicz, Stefan Janaqi, Pierre Jean, Benoît G. Bardy
Publié dans:
Scientific Reports, Numéro Volume: 13, 2023, ISSN 2045-2322
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41598-023-34406-2
Auteurs:
Temitayo Olugbade, Marta Bieńkiewicz, Giulia Barbareschi, Vincenzo D’amato, Luca Oneto, Antonio Camurri, Catherine Holloway, Mårten Björkman, Peter Keller, Martin Clayton, Amanda C De C Williams, Nicolas Gold, Cristina Becchio, Benoît Bardy, Nadia Bianchi-Berthouze
Publié dans:
Association for Computing Machinery, ACM Comput. Surv., Numéro Volume:55, 2022, ISSN 0360-0300
Éditeur:
Association for Computing Machinary, Inc.
DOI:
10.1145/3534970
Auteurs:
Andrii Smykovskyi, Andrii Smykovskyi, Simon Pla, Stefan Janaqi, Benoit G. Bardy
Publié dans:
Frontiers in Human Neuroscience, Numéro Volume:16, 2022, Page(s) 944241, ISSN 0000-0000
Éditeur:
Frontiers
DOI:
10.3389/fnhum.2022.944241
Auteurs:
Andrea Casarotto, Elisa Dolfini, Pasquale Cardellicchio, Luciano Fadiga, Alessandro D'Ausilio, Giacomo Koch
Publié dans:
The Journal of Physiology, Numéro Volume:601, Number:1, 2023, Page(s) 211-226, ISSN 1469-7793
Éditeur:
Wiley Online Library
DOI:
10.1113/jp283560
Auteurs:
Maarten J. Vaessen; Van der Heijden K; de Gelder B; de Gelder B
Publié dans:
bioRxiv, Numéro 24, 2019, ISSN 0000-0000
Éditeur:
Cold Spring Harbor Laboratory
DOI:
10.1101/869578
Auteurs:
A. Tomassini, J. Laroche, M. Emanuele, G. Nazzaro, N. Petrone, L. Fadiga, A. D'Ausilio
Publié dans:
iScience, Numéro Volume:25, 2022, Page(s) 104096, ISSN 2589-0042
Éditeur:
ScienceDirect - Elsevier
DOI:
10.1016/j.isci.2022.104096
Auteurs:
Calabrese, C., Bardy, B. G., de Lellis, P., & di Bernardo, M.
Publié dans:
Frontiers in Psychology, 2022, ISSN 1664-1078
Éditeur:
Frontiers Research Foundation
DOI:
10.3389/fpsyg.2021.753758
Auteurs:
Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. DE C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
Publié dans:
ACM Transactions on Computing for Healthcare, Numéro Volume:2, Number:3, Article:23, 2021, Page(s) 1-24, ISSN 2691-1957
Éditeur:
ACM
DOI:
10.1145/3449068
Auteurs:
Giacomo Turri, Andrea Cavallo, Luca Romeo, Massimiliano Pontil, Alan Sanfey, Stefano Panzeri, Cristina Becchio
Publié dans:
iScience, Numéro Volume:25, Number:12, 2022, Page(s) 105550, ISSN 2589-0042
Éditeur:
ScienceDirect, Elsevier
DOI:
10.1016/j.isci.2022.105550
Auteurs:
A. A. Nogueira-Campos, P. M. Hilt, L. Fadiga, C. Veronesi, A. D’Ausilio, T. Pozzo
Publié dans:
Scientific Reports, Numéro 9/1, 2019, ISSN 2045-2322
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41598-019-48758-1
Auteurs:
Pasquale Cardellicchio, Elisa Dolfini, Pauline M. Hilt, Luciano Fadiga, Alessandro D’Ausilio
Publié dans:
NeuroImage, Numéro Volume:208, 2020, ISSN 1053-8119
Éditeur:
Academic Press
DOI:
10.1016/j.neuroimage.2019.116445
Auteurs:
J. Laroche, A. Tomassini, G. Volpe, A. Camurri, L. Fadiga, A. D'Ausilio
Publié dans:
Frontiers in Human Neuroscience, Numéro Volume: 16, 2022, ISSN 1662-5161
Éditeur:
Frontiers Research Foundation
DOI:
10.3389/fnhum.2022.899676
Auteurs:
Alice Tomassini; Eric Maris; Pauline M. Hilt; Luciano Fadiga; Luciano Fadiga; Alessandro D'Ausilio; Alessandro D'Ausilio
Publié dans:
PLoS Biology, Numéro Volume:18, Month:October, 2020, ISSN 0000-0000
Éditeur:
PLoS Biology
DOI:
10.1371/journal.pbio.3000898
Auteurs:
Marta Poyo Solanas, Maarten Vaessen, Beatrice de Gelder
Publié dans:
Cerebral Cortex, 2020, ISSN 1047-3211
Éditeur:
Oxford University Press
DOI:
10.1093/cercor/bhaa196
Auteurs:
Calabrese, C., Lombardi, M., Bollt, E., De Lellis, P., Bardy, B. G., & di Bernardo, M.
Publié dans:
Scientific Reports, 2021, ISSN 2045-2322
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41598-021-97656-y
Auteurs:
Pasquale Cardellicchio, Elisa Dolfini, Luciano Fadiga, Alessandro D'Ausilio
Publié dans:
Cortex, Numéro Volume:133, 2020, Page(s) 346-357, ISSN 0010-9452
Éditeur:
Masson Publishing
DOI:
10.1016/j.cortex.2020.09.029
Auteurs:
Julien Lagarde
Publié dans:
PsyArXiv, Numéro Month:July, 2021, ISSN 0000-0000
Éditeur:
Center for Open Science
DOI:
10.31234/osf.io/rf7ku
Auteurs:
Noemi Montobbio, Andrea Cavallo , Dalila Albergo, Caterina Ansuini, Francesca Battaglia, Jessica Podda, Lino Nobili, Stefano Panzeri, Cristina Becchio
Publié dans:
Proceedings of the National Academy of Sciences, 2022, Page(s) e2114648119, ISSN 1091-6490
Éditeur:
United States National Academy of Sciences
DOI:
10.1073/pnas.2114648119
Auteurs:
Robrecht P.R.D.van der Wel, Cristina Becchio, Arianna Curioni, ThomasWolf
Publié dans:
Acta Psychologica, 2021, Page(s) 103285, ISSN 0001-6918
Éditeur:
Elsevier BV
DOI:
10.1016/j.actpsy.2021.103285
Auteurs:
Loïc Damm, Déborah Varoqui, Valérie Cochen De Cock, Simone Dalla Bella, Benoît Bardy,
Publié dans:
Neuroscience & Biobehavioral Reviews, Numéro Volume: 112, 2020, Page(s) Pages 553-584, ISSN 0149-7634
Éditeur:
Pergamon Press Ltd.
DOI:
10.1016/j.neubiorev.2019.12.024
Auteurs:
Alexandre Coste, Benoît G. Bardy, Stefan Janaqi, Piotr Słowiński, Krasimira Tsaneva-Atanasova, Juliette Lozano Goupil, Ludovic Marin
Publié dans:
Psychological Research, 2020, ISSN 0340-0727
Éditeur:
Springer Verlag
DOI:
10.1007/s00426-020-01290-8
Auteurs:
Cigdem Beyan; Sukumar Karumuri; Gualtiero Volpe; Antonio Camurri; Radoslaw Niewiadomski
Publié dans:
IEEE Transactions on Affective Computing, Numéro 4, 2021, ISSN 1949-3045
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/taffc.2021.3095425
Auteurs:
Pasquale Cardellicchio, Pauline M. Hilt, Elisa Dolfini, Luciano Fadiga, Alessandro D’Ausilio
Publié dans:
Frontiers in Systems Neuroscience, Numéro Volume:14, Number:63, 2020, ISSN 0000-0000
Éditeur:
Frontiers Media
DOI:
10.3389/fnsys.2020.00063
Auteurs:
Vincenzo D'Amato, Erica Volta, Luca Oneto, Gualtiero Volpe, Antonio Camurri, Davide Anguita
Publié dans:
Cognitive Computation, 2020, ISSN 1866-9964
Éditeur:
Springer
Auteurs:
Vincenzo Lussu, Radoslaw Niewiadomski, Gualtiero Volpe, Antonio Camurri
Publié dans:
Journal on Multimodal User Interfaces, Numéro 14/1, 2020, Page(s) 1-15, ISSN 1783-7677
Éditeur:
Springer Verlag
DOI:
10.1007/s12193-019-00302-1
Auteurs:
Bardy, B.G., Calabrese, C., De Lellis, P. et al.
Publié dans:
Scientific Reports, 2020, ISSN 2045-2322
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41598-020-74914-z
Auteurs:
Minye Zhan, Rainer Goebel, Beatrice de Gelder
Publié dans:
bioRxiv, 2021, ISSN 0000-0000
Éditeur:
Cold Spring Harbor Laboratory
DOI:
10.1101/2021.04.15.439961
Auteurs:
Beatrice de Gelder, Marta Poyo Solanas
Publié dans:
Trends in Cognitive Sciences, Numéro Volume:25, Number:9, 2021, Page(s) 744-756, ISSN 1364-6613
Éditeur:
Elsevier BV
DOI:
10.1016/j.tics.2021.05.010
Auteurs:
Alexandre Coste, Benoît G. Bardy, Ludovic Marin
Publié dans:
Frontiers in Psychology, Numéro 10, 2019, ISSN 1664-1078
Éditeur:
Frontiers Research Foundation
DOI:
10.3389/fpsyg.2019.02441
Auteurs:
Vincenzo D’Amato, Erica Volta, Luca Oneto, Gualtiero Volpe, Antonio Camurri, Davide Anguita
Publié dans:
Proceedings of the 16th International Work-Conference on Artificial Neural Networks - IWANN 2021, Numéro Volume:12862, 2021, Page(s) 367-379, ISSN 0000-0000
Éditeur:
Springer Nature
DOI:
10.1007/978-3-030-85099-9_30
Auteurs:
Pasquale Cardellicchio, Giacomo Koch, Luciano Fadiga, Alessandro D'Ausilio
Publié dans:
Brain Stimulation, Numéro Volume:14, Month:August, 2021, Page(s) 1106-1108, ISSN 1935-861X
Éditeur:
Elsevier BV
DOI:
10.1016/j.brs.2021.07.061
Auteurs:
Pauline M. Hilt, Leonardo Badino, Alessandro D’Ausilio, Gualtiero Volpe, Serâ Tokay, Luciano Fadiga, Antonio Camurri
Publié dans:
Scientific Reports, Numéro 10/1, 2020, ISSN 2045-2322
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41598-019-55965-3
Auteurs:
Francesco Torricelli, Alice Tomassini, Giovanni Pezzulo, Thierry Pozzo, Luciano Fadiga, Alessandro D'Ausilio
Publié dans:
Physics of Life Reviews, Numéro Volume:44, 2023, Page(s) 13-47, ISSN 1571-0645
Éditeur:
Elsevier BV
DOI:
10.1016/j.plrev.2022.11.003
Auteurs:
Pauline M. Hilt, Leonardo Badino, Alessandro D’Ausilio, Gualtiero Volpe, Serâ Tokay, Luciano Fadiga, Antonio Camurri
Publié dans:
Scientific Reports, Numéro 9/1, 2019, ISSN 2045-2322
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41598-019-42395-4
Auteurs:
P M Hilt, P Cardellicchio, E Dolfini, T Pozzo, L Fadiga, A D’Ausilio
Publié dans:
Cerebral Cortex, Numéro 30/7, 2020, Page(s) 3910-3920, ISSN 1047-3211
Éditeur:
Oxford University Press
DOI:
10.1093/cercor/bhaa006
Auteurs:
Marta Bienkiewicz; Andrii P. Smykovskyi; Temitayo A. Olugbade; Stefan Janaqi; Antonio Camurri; Nadia Bianchi-Berthouze; Mårten Björkman; Benoît G. Bardy
Publié dans:
ISSN: 1873-7528, Numéro 131, December 2021, 2021, Page(s) 806-833, ISSN 0149-7634
Éditeur:
Pergamon Press Ltd.
DOI:
10.1016/j.neubiorev.2021.08.014
Auteurs:
Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
Publié dans:
Networks, Numéro Volume:74, Numéro_2, Month:September, 2019, Page(s) 161-173, ISSN 0028-3045
Éditeur:
John Wiley & Sons Inc.
DOI:
10.1002/net.21887
Auteurs:
Giuseppe Marrazzo, Maarten J. Vaessen, Beatrice de Gelder
Publié dans:
Neuroimage, 2021, ISSN 1053-8119
Éditeur:
Academic Press
DOI:
10.1016/j.neuroimage.2021.118545
Auteurs:
Marco Soriano; Marco Soriano; Atesh Koul; Atesh Koul; Cristina Becchio; Cristina Becchio; Andrea Cavallo; Andrea Cavallo
Publié dans:
Neuropsychologia, Numéro 10, 2019, Page(s) 107205, ISSN 0028-3932
Éditeur:
Pergamon Press Ltd.
DOI:
10.1016/j.neuropsychologia.2019.107205
Auteurs:
Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, and Nadia Bianchi-Berthouze
Publié dans:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Numéro 5, 2, 81, 2021, Page(s) 1-27, ISSN 2474-9567
Éditeur:
ACM
DOI:
10.1145/3463508
Auteurs:
Vera Kurkova, Marcello Sanguineti
Publié dans:
Soft Computing, Numéro Volume:25, Month:October, 2021, Page(s) 12641–12648, ISSN 1433-7479
Éditeur:
Springer
DOI:
10.1007/s00500-021-05938-4
Auteurs:
Francesca Capozzi, Cigdem Beyan, Antonio Pierro, Atesh Koul, Vittorio Murino, Stefano Livi, Andrew P. Bayliss, Jelena Ristic, Cristina Becchio
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