Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Arthur Dehgan"'
Autor:
Philipp Thölke, Yorguin-Jose Mantilla-Ramos, Hamza Abdelhedi, Charlotte Maschke, Arthur Dehgan, Yann Harel, Anirudha Kemtur, Loubna Mekki Berrada, Myriam Sahraoui, Tammy Young, Antoine Bellemare Pépin, Clara El Khantour, Mathieu Landry, Annalisa Pascarella, Vanessa Hadid, Etienne Combrisson, Jordan O’Byrne, Karim Jerbi
Publikováno v:
NeuroImage, Vol 277, Iss , Pp 120253- (2023)
Machine learning (ML) is increasingly used in cognitive, computational and clinical neuroscience. The reliable and efficient application of ML requires a sound understanding of its subtleties and limitations. Training ML models on datasets with imbal
Externí odkaz:
https://doaj.org/article/5a4ec21c2d304490b2ba04066277b185
Autor:
Thomas Thiery, Anne-Lise Saive, Etienne Combrisson, Arthur Dehgan, Julien Bastin, Philippe Kahane, Alain Berthoz, Jean-Philippe Lachaux, Karim Jerbi
Publikováno v:
PLoS Biology, Vol 18, Iss 12, p e3000864 (2020)
How do we choose a particular action among equally valid alternatives? Nonhuman primate findings have shown that decision-making implicates modulations in unit firing rates and local field potentials (LFPs) across frontal and parietal cortices. Yet t
Externí odkaz:
https://doaj.org/article/ced7e4927a8844c4b6f8cf02aebb724b
Autor:
David Meunier, Annalisa Pascarella, Dmitrii Altukhov, Mainak Jas, Etienne Combrisson, Tarek Lajnef, Daphné Bertrand-Dubois, Vanessa Hadid, Golnoush Alamian, Jordan Alves, Fanny Barlaam, Anne-Lise Saive, Arthur Dehgan, Karim Jerbi
Publikováno v:
NeuroImage, Vol 219, Iss , Pp 117020- (2020)
Recent years have witnessed a massive push towards reproducible research in neuroscience. Unfortunately, this endeavor is often challenged by the large diversity of tools used, project-specific custom code and the difficulty to track all user-defined
Externí odkaz:
https://doaj.org/article/72eef43a9182445f8054ee8cd68137ad
Autor:
Philipp Thölke, Yorguin-Jose Mantilla-Ramos, Hamza Abdelhedi, Charlotte Maschke, Arthur Dehgan, Yann Harel, Anirudha Kemtur, Loubna Mekki Berrada, Myriam Sahraoui, Tammy Young, Antoine Bellemare Pépin, Clara El Khantour, Mathieu Landry, Annalisa Pascarella, Vanessa Hadid, Etienne Combrisson, Jordan O’Byrne, Karim Jerbi
Machine learning (ML) is increasingly used in cognitive, computational and clinical neuroscience. The reliable and efficient application of ML requires a sound understanding of its subtleties and limitations. Training ML models on datasets with imbal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5d0297a762fc3c52484c90beaf3af92
https://hal.science/hal-03764712
https://hal.science/hal-03764712
Publikováno v:
2022 Conference on Cognitive Computational Neuroscience.
Autor:
Tarek Lajnef, Dmitrii Altukhov, David Meunier, Annalisa Pascarella, Mainak Jas, Golnoush Alamian, Etienne Combrisson, Jordan Alves, Vanessa Hadid, Arthur Dehgan, Anne-Lise Saive, Fanny Barlaam, Daphné Bertrand-Dubois, Karim Jerbi
Publikováno v:
NeuroImage, Vol 219, Iss, Pp 117020-(2020)
NeuroImage
NeuroImage, 2020, 219, pp.117020. ⟨10.1016/j.neuroimage.2020.117020⟩
NeuroImage, Elsevier, 2020, 219, pp.117020. ⟨10.1016/j.neuroimage.2020.117020⟩
NeuroImage (Orlando Fla., Print) 219 (2020). doi:10.1016/j.neuroimage.2020.117020
info:cnr-pdr/source/autori:Meunier, David; Pascarella, Annalisa; Altukhov, Dmitrii; Jas, Mainak; Combrisson, Etienne; Lajnef, Tarek; Bertrand-Dubois, Daphne; Hadid, Vanessa; Alamian, Golnoush; Alves, Jordan; Barlaam, Fanny; Saive, Anne-Lise; Dehgan, Arthur; Jerbi, Karim/titolo:NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines/doi:10.1016%2Fj.neuroimage.2020.117020/rivista:NeuroImage (Orlando Fla., Print)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:219
Meunier, D, Pascarella, A, Altukhov, D, Jas, M, Combrisson, E, Lajnef, T, Bertrand-Dubois, D, Hadid, V, Alamian, G, Alves, J, Barlaam, F, Saive, A L, Dehgan, A & Jerbi, K 2020, ' NeuroPycon : An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines ', NeuroImage, vol. 219, 117020 . https://doi.org/10.1016/j.neuroimage.2020.117020
NeuroImage
NeuroImage, 2020, 219, pp.117020. ⟨10.1016/j.neuroimage.2020.117020⟩
NeuroImage, Elsevier, 2020, 219, pp.117020. ⟨10.1016/j.neuroimage.2020.117020⟩
NeuroImage (Orlando Fla., Print) 219 (2020). doi:10.1016/j.neuroimage.2020.117020
info:cnr-pdr/source/autori:Meunier, David; Pascarella, Annalisa; Altukhov, Dmitrii; Jas, Mainak; Combrisson, Etienne; Lajnef, Tarek; Bertrand-Dubois, Daphne; Hadid, Vanessa; Alamian, Golnoush; Alves, Jordan; Barlaam, Fanny; Saive, Anne-Lise; Dehgan, Arthur; Jerbi, Karim/titolo:NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines/doi:10.1016%2Fj.neuroimage.2020.117020/rivista:NeuroImage (Orlando Fla., Print)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:219
Meunier, D, Pascarella, A, Altukhov, D, Jas, M, Combrisson, E, Lajnef, T, Bertrand-Dubois, D, Hadid, V, Alamian, G, Alves, J, Barlaam, F, Saive, A L, Dehgan, A & Jerbi, K 2020, ' NeuroPycon : An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines ', NeuroImage, vol. 219, 117020 . https://doi.org/10.1016/j.neuroimage.2020.117020
Recent years have witnessed a massive push towards reproducible research in neuroscience. Unfortunately, this endeavor is often challenged by the large diversity of tools used, project-specific custom code and the difficulty to track all user-defined
Autor:
Arthur Dehgan, Karim Jerbi, Julien Bastin, Anne-Lise Saive, Alain Berthoz, Etienne Combrisson, Philippe Kahane, Jean-Philippe Lachaux, Thomas Thiery
Publikováno v:
PLoS Biology, Vol 18, Iss 12, p e3000864 (2020)
PLoS Biology
PLoS Biology
How do we choose a particular action among equally valid alternatives? Nonhuman primate findings have shown that decision-making implicates modulations in unit firing rates and local field potentials (LFPs) across frontal and parietal cortices. Yet t
Autor:
Stefanie Blain-Moraes, Tarek Lajnef, Karim Jerbi, George A. Mashour, Pierre Rainville, Etienne Combrisson, Thomas Thiery, Arthur Dehgan
Rhythmic neuronal synchronization across large-scale networks is thought to play a key role in the regulation of conscious states. Changes in neuronal oscillation amplitude across states of consciousness have been widely reported, but little is known
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d63488c154903254ac32eb2643f17fd6
https://europepmc.org/articles/PMC6545227/
https://europepmc.org/articles/PMC6545227/
Autor:
David Meunier, Annalisa Pascarella, Daphné Bertrand-Dubois, Jordan Alves, Fanny Barlaam, Arthur Dehgan, Tarek Lajnef, Etienne Combrisson, Dmitrii Altukhov, Karim Jerbi
Publikováno v:
The 21st International Conference on Biomagnetism, BIOMAG 2018, Philadelphia, 26-20 Agosto 2018
info:cnr-pdr/source/autori:David Meunier, Annalisa Pascarella, Daphné Bertrand-Dubois, Jordan Alves, Fanny Barlaam, Arthur Dehgan, Tarek Lajnef, Etienne Combrisson, Dmitrii Altukhov, Karim Jerbi/congresso_nome:The 21st International Conference on Biomagnetism, BIOMAG 2018/congresso_luogo:Philadelphia/congresso_data:26-20 Agosto 2018/anno:2018/pagina_da:/pagina_a:/intervallo_pagine
info:cnr-pdr/source/autori:David Meunier, Annalisa Pascarella, Daphné Bertrand-Dubois, Jordan Alves, Fanny Barlaam, Arthur Dehgan, Tarek Lajnef, Etienne Combrisson, Dmitrii Altukhov, Karim Jerbi/congresso_nome:The 21st International Conference on Biomagnetism, BIOMAG 2018/congresso_luogo:Philadelphia/congresso_data:26-20 Agosto 2018/anno:2018/pagina_da:/pagina_a:/intervallo_pagine
Background. With the exponential increase in data dimension and methodological complexities, brain networks analysis with MEG and EEG has become an increasingly challenging and time-consuming endeavor. To date, performing all the data processing step
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::82c11a0cca9454121bd5168449b8b5f1
http://www.cnr.it/prodotto/i/395353
http://www.cnr.it/prodotto/i/395353
Autor:
David Meunier, Annalisa Pascarella, Daphné Bertrand-Dubois, Jordan Alves, Fanny Barlaam, Arthur Dehgan, Tarek Lajnef, Etienne Combrisson, Dmitrii Altukhov, Karim Jerbi
Publikováno v:
BACI Conference, 2017, Bern, Switzerland, 29/08/2017-02/09/29017
info:cnr-pdr/source/autori:David Meunier, Annalisa Pascarella, Daphné Bertrand-Dubois, Jordan Alves, Fanny Barlaam, Arthur Dehgan, Tarek Lajnef, Etienne Combrisson, Dmitrii Altukhov, Karim Jerbi/congresso_nome:BACI Conference, 2017/congresso_luogo:Bern, Switzerland/congresso_data:29%2F08%2F2017-02%2F09%2F29017/anno:2017/pagina_da:/pagina_a:/intervallo_pagine
info:cnr-pdr/source/autori:David Meunier, Annalisa Pascarella, Daphné Bertrand-Dubois, Jordan Alves, Fanny Barlaam, Arthur Dehgan, Tarek Lajnef, Etienne Combrisson, Dmitrii Altukhov, Karim Jerbi/congresso_nome:BACI Conference, 2017/congresso_luogo:Bern, Switzerland/congresso_data:29%2F08%2F2017-02%2F09%2F29017/anno:2017/pagina_da:/pagina_a:/intervallo_pagine
NeuroPycon is an open-source multi-modal brain data analysis kit which provides Python-based pipelines for advanced multi-thread processing of fMRI, MEG and EEG data, with a focus on connectivity and graph analyses [1]. NeuroPycon is based on NiPype
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::18afdd066be2e1b1a407d4ddf7e96edc
https://publications.cnr.it/doc/379767
https://publications.cnr.it/doc/379767