Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Nicolas Rougier"'
Publikováno v:
Brain Informatics ISBN: 9783031150364
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4914fef9a3187b85f1676aaeff3fb3cb
https://doi.org/10.1007/978-3-031-15037-1_2
https://doi.org/10.1007/978-3-031-15037-1_2
Publikováno v:
ERCIM News
ERCIM News, ERCIM, 2021, 125
HAL
ERCIM News, 2021, 125, pp.4
ERCIM News, ERCIM, 2021, 125
HAL
ERCIM News, 2021, 125, pp.4
International audience; SOMA is a France-Switzerland collaborative project which aims to develop a computing machine with self-organizing properties inspired by the functioning of the brain. The SOMA project addresses this challenge by lying at the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3521a23856af31cfcfcaf1276805ace7
https://hal.inria.fr/hal-03186497/document
https://hal.inria.fr/hal-03186497/document
Autor:
S. Bohic, I. Trigo Damas, Omar M. A. El-Agnaf, Nuria García-Carrillo, Erwan Bezard, Ariadna Recasens, Jose A. Obeso, Niels Kruse, Evelyne Doudnikoff, Philippe Aubert, T. Leste-Lasserre, Alice Prigent, C. Perier, Nishant N. Vaikath, Salvatore Novello, Marie Laure Thiolat, Sandra Dovero, Miquel Vila, Florent Laferrière, C. Sandt, Michele Morari, Mathieu Bourdenx, Brit Mollenhauer, Aurélien Nioche, Cristina Estrada, Michel Goillandeau, S. Camus, M. L. Arotcarena, Gregory Porras, Maria Herrero, Nicolas Rougier, Pascal Derkinderen, Benjamin Dehay
Publikováno v:
Science Advances
Science Advances, American Association for the Advancement of Science (AAAS), 2020, 6 (20), pp.eaaz9165. ⟨10.1126/sciadv.aaz9165⟩
Science Advances, 2020, 6 (20), pp.eaaz9165. ⟨10.1126/sciadv.aaz9165⟩
Science Advances, American Association for the Advancement of Science (AAAS), 2020, 6 (20), pp.eaaz9165. ⟨10.1126/sciadv.aaz9165⟩
Science Advances, 2020, 6 (20), pp.eaaz9165. ⟨10.1126/sciadv.aaz9165⟩
Machine learning–based approach unravels distinct pathological signatures induced by patient-derived α-synuclein seeds in monkeys.
Dopaminergic neuronal cell death, associated with intracellular α-synuclein (α-syn)–rich protein aggregates
Dopaminergic neuronal cell death, associated with intracellular α-synuclein (α-syn)–rich protein aggregates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fa23bd6eaa3f47ce7160a468fd8d2a9
https://doi.org/10.1101/825216
https://doi.org/10.1101/825216
Publikováno v:
Neural Computation
Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2019, pp.1-29. ⟨10.1162/neco_a_01249⟩
Neural Computation, 2019, pp.1-29. ⟨10.1162/neco_a_01249⟩
Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2019, pp.1-29. ⟨10.1162/neco_a_01249⟩
Neural Computation, 2019, pp.1-29. ⟨10.1162/neco_a_01249⟩
Gated working memory is defined as the capacity of holding arbitrary information at any time in order to be used at a later time. Based on electrophysiological recordings, several computational models have tackled the problem using dedicated and expl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87024efddac680aeb385b2b59fda73aa
Publikováno v:
Biological Cybernetics (Modeling)
Biological Cybernetics (Modeling), 2015, 109 (4-5), ⟨10.1007/s00422-015-0660-8⟩
Biological Cybernetics (Modeling), Springer Verlag, 2015, 109 (4-5), ⟨10.1007/s00422-015-0660-8⟩
Biological Cybernetics (Modeling), 2015, 109 (4-5), ⟨10.1007/s00422-015-0660-8⟩
Biological Cybernetics (Modeling), Springer Verlag, 2015, 109 (4-5), ⟨10.1007/s00422-015-0660-8⟩
International audience; The superior colliculus (SC) is a brain-stem structure at the crossroad of multiple functional pathways. Several neurophysiological studies suggest that the population of active neurons in the SC encodes the location of a visu
Publikováno v:
Advances in Artificial Intelligence: From Theory to Practice ISBN: 9783319600413
IEA/AIE (1)
IEA/AIE (1)
The electrical domain, either domestic or industrial, benefits from a huge set of well-defined norms at both the national and international levels. However and surprisingly enough, there is no such norm regarding the actual conception and structurati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::183ba27476d7b864fb3b54ef944a57f0
https://doi.org/10.1007/978-3-319-60042-0_27
https://doi.org/10.1007/978-3-319-60042-0_27
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Public Library of Science, 2014, pp.7. ⟨10.1371/journal.pcbi.1003833⟩
PLoS Computational Biology, Vol 10, Iss 9, p e1003833 (2014)
PLoS Computational Biology, 2014, pp.7. ⟨10.1371/journal.pcbi.1003833⟩
PLoS Computational Biology, Public Library of Science, 2014, pp.7. ⟨10.1371/journal.pcbi.1003833⟩
PLoS Computational Biology, Vol 10, Iss 9, p e1003833 (2014)
PLoS Computational Biology, 2014, pp.7. ⟨10.1371/journal.pcbi.1003833⟩
International audience; Scientific visualization is classically defined as the process of graphically displaying scientific data. However, this process is far from direct or automatic. There are so many different ways to represent the same data: scat
Autor:
Nicolas Rougier, Georgios Detorakis
Publikováno v:
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience, Frontiers, 2014, 8, pp.26. ⟨10.3389/fncom.2014.00076⟩
Frontiers in Computational Neuroscience, Vol 8 (2014)
Frontiers in Computational Neuroscience, 2014, 8, pp.26. ⟨10.3389/fncom.2014.00076⟩
Frontiers in Computational Neuroscience, Frontiers, 2014, 8, pp.26. ⟨10.3389/fncom.2014.00076⟩
Frontiers in Computational Neuroscience, Vol 8 (2014)
Frontiers in Computational Neuroscience, 2014, 8, pp.26. ⟨10.3389/fncom.2014.00076⟩
International audience; In a previous work, we introduced a computational model of area 3b which is built upon the neural field theory and receives input from a simplified model of the index distal finger pad populated by a random set of touch recept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00fd1c4a2ab8a0e8c7d600b13ffad2ed
https://hal.inria.fr/hal-01052817/document
https://hal.inria.fr/hal-01052817/document
Publikováno v:
Neural, Symbolic and Reinforcement Methods for Sequence Learning
Neural, Symbolic and Reinforcement Methods for Sequence Learning, Springer, 28 p, 2000
Sequence Learning ISBN: 9783540415978
Sequence Learning
HAL
Neural, Symbolic and Reinforcement Methods for Sequence Learning, Springer, 28 p, 2000
Sequence Learning ISBN: 9783540415978
Sequence Learning
HAL
Contribution à un ouvrage.; Whereas classical connectionist models can hardly cope with difficult dynamic tasks with a strong temporal factor, many temporal mechanisms inspired with neurobiological data has been proposed in the past and yield effici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::132daf3a57edd3066a81d48725b4e909
https://hal.inria.fr/inria-00107857/file/A00-R-200.pdf
https://hal.inria.fr/inria-00107857/file/A00-R-200.pdf
Autor:
Nicolas Rougier
Publikováno v:
Glottodidactica. An International Journal of Applied Linguistics. 41:113
The purpose of this paper is to identify the objectives pursued by teachers when correcting learners writings and show that the type of feedback used to this end is essentially the direct feedback, while other forms of feedback, presented here, are n