Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Giulia Lioi"'
Autor:
Yassine El Ouahidi, Vincent Gripon, Bastien Pasdeloup, Ghaith Bouallegue, Nicolas Farrugia, Giulia Lioi
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 3338-3347 (2024)
We propose EEG-SimpleConv, a straightforward 1D convolutional neural network for Motor Imagery decoding in BCI. Our main motivation is to propose a simple and performing baseline that achieves high classification accuracy, using only standard ingredi
Externí odkaz:
https://doaj.org/article/df4390a5e4cf4d71ac6c9cc20833a516
Publikováno v:
Network Neuroscience, Vol 5, Iss 2, Pp 322-336 (2021)
AbstractThe application of graph theory to model the complex structure and function of the brain has shed new light on its organization, prompting the emergence of network neuroscience. Despite the tremendous progress that has been achieved in this f
Externí odkaz:
https://doaj.org/article/f249d1ee95da4cb5993636bbcfc0d682
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
In this paper, we describe the results of a single subject study attempting at a better understanding of the subjective mental state during musical improvisation. In a first experiment, we setup an ecological paradigm measuring EEG on a musician in f
Externí odkaz:
https://doaj.org/article/4ab4fe8fbb3f4b0fb61436c636c537a9
Autor:
Yassir Bendou, Yuqing Hu, Raphael Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon
Publikováno v:
Journal of Imaging, Vol 8, Iss 7, p 179 (2022)
Few-shot classification aims at leveraging knowledge learned in a deep learning model, in order to obtain good classification performance on new problems, where only a few labeled samples per class are available. Recent years have seen a fair number
Externí odkaz:
https://doaj.org/article/f8214e0a0a544c969e7da4f5e7f9b8d0
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Neurofeedback (NF) and brain-computer interface (BCI) applications rely on the registration and real-time feedback of individual patterns of brain activity with the aim of achieving self-regulation of specific neural substrates or control of external
Externí odkaz:
https://doaj.org/article/8bf08b3bf64c4c638da5a2a13425e894
Autor:
Giulia Lioi, Simon Butet, Mathis Fleury, Elise Bannier, Anatole Lécuyer, Isabelle Bonan, Christian Barillot
Publikováno v:
Frontiers in Human Neuroscience, Vol 14 (2020)
Traditional rehabilitation techniques present limitations and the majority of patients show poor 1-year post-stroke recovery. Thus, Neurofeedback (NF) or Brain-Computer-Interface applications for stroke rehabilitation purposes are gaining increased a
Externí odkaz:
https://doaj.org/article/e0f8f88318f744318a1c938a7e1fb617
Autor:
Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
BCI Motor Imagery datasets usually are small and have different electrodes setups. When training a Deep Neural Network, one may want to capitalize on all these datasets to increase the amount of data available and hence obtain good generalization res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dd1329ac6b4443600bc22cf66a08996
Autor:
Emilie Leveque-Le Bars, Quentin Duché, Giulia Lioi, Christian Barillot, Simon Butet, Anatole Lécuyer, Elise Bannier, Mathis Fleury, Isabelle Bonan, Adolfo Veliz, Julie Coloigner
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1aabfea8f8bece2a24cda4816f4e550f
https://doi.org/10.1088/1741-2552/ac291e/v2/response1
https://doi.org/10.1088/1741-2552/ac291e/v2/response1
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Mathis Fleury, Marsel Mano, Lorraine Perronnet, Christian Barillot, Claire Cury, Anatole Lécuyer, Fabien Lotte, Maureen Clerc, Giulia Lioi
Publikováno v:
HAL
CIÊNCIAVITAE
CIÊNCIAVITAE
Neurofeedback (NF) allows to exert self-regulation over specific aspects of ones own brain function by returning information extracted in real-time from brain activity measures. These measures are usually acquired from a single modality, most commonl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::671156412a9a62d6c6f13d7e8e7c3a46
https://hal.inria.fr/hal-02522245/document
https://hal.inria.fr/hal-02522245/document