Zobrazeno 1 - 10 of 43 pro vyhledávání: '"Eskiizmirliler, Selim"'
1
Report
Variability in Grasp Type Distinction for Myoelectric Prosthesis Control Using a Non-Invasive Brain-Machine Interface
Autor: Piozin, Corentin, Bouarroudj, Lisa, Audran, Jean-Yves, Lavrard, Brice, Simon, Catherine, Waszak, Florian, Eskiizmirliler, Selim
Decoding multiple movements from the same limb using electroencephalographic (EEG) activity is a key challenge with applications for controlling prostheses in upper-limb amputees. This study investigates the classification of four hand movements to c
Externí odkaz: http://arxiv.org/abs/2409.07207
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4
Stabilization of Gaze during Early Xenopus Development by Swimming-Related Utricular Signals
Autor: Lambert, François, Bacqué-Cazenave, Julien, Le Seach, Anne, Arama, Jessica, Courtand, Gilles, Tagliabue, Michele, Eskiizmirliler, Selim, Straka, Hans, Beraneck, Mathieu
Publikováno v: Current Biology-CB
Current Biology-CB, In press, ⟨10.1016/j.cub.2019.12.047⟩
Current Biology-CB, Elsevier, In press, ⟨10.1016/j.cub.2019.12.047⟩
Current Biology-CB, Elsevier, 2020, 30 (4), pp.746-753.e4. ⟨10.1016/j.cub.2019.12.047⟩
International audience; Locomotor maturation requires concurrent gaze stabilization improvement for maintaining visual acuity [1, 2]. The capacity to stabilize gaze, in particular in small aquatic vertebrates where coordinated locomotor activity appe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::19a91af4d6fa46adf627355e66066e22
https://hal.science/hal-02413450/file/CURRENT-BIOLOGY-D-19-01330_R2-2.pdf
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5
Akademický článek
An Anthropomorphic Robotic Platform for Progressive and Adaptive Sensorimotor Learning.
Autor: Zollo, Loredana1 l.zollo@unicampus.it, Eskiizmirliler, Selim2,3,4, Teti, Giancarlo5, Laschi, Cecilia5, Burnod, Yves2,3, Guglielmelli, Eugenio1, Maier, Marc A.2,3,4
Publikováno v: Advanced Robotics. 2008, Vol. 22 Issue 1, p91-118. 28p. 5 Black and White Photographs, 7 Diagrams, 4 Charts, 2 Graphs.
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6
Differences between kinematic synergies and muscle synergies during two-digit grasping
Autor: Tagliabue, Michele, Ciancio, Anna Lisa, Brochier, Thomas, Eskiizmirliler, Selim, Maier, Marc A.
Publikováno v: Frontiers in Human Neuroscience
Frontiers in Human Neuroscience, Frontiers, 2015, 9, pp.165-165. <10.3389/fnhum.2015.00165>
Frontiers in Human Neuroscience, 2015, 9 (165), ⟨10.3389/fnhum.2015.00165⟩
Frontiers in Human Neuroscience, Vol 9 (2015)
Frontiers in Human Neuroscience, Frontiers, 2015, 9 (165), ⟨10.3389/fnhum.2015.00165⟩
Frontiers in Human Neuroscience, Frontiers, 2015, 9 (165), 〈10.3389/fnhum.2015.00165〉
International audience; The large number of mechanical degrees of freedom of the hand is not fully exploited during actual movements such as grasping. Usually, angular movements in various joints tend to be coupled, and EMG activities in different ha
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::0e5d09030834c5722fbfe474ca766ca2
https://hal-univ-diderot.archives-ouvertes.fr/hal-01449355
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7
Brain Machine Interface (BMI) as a tool for understanding human-machine cooperation
Autor: Eskiizmirliler, Selim, Goffette, Jérôme
Publikováno v: Inquiring into Human Enhancement
Simone Bateman, Jean Gayon, Sylvie Allouche, Jérôme Goffette, Michela Marzano. Inquiring into Human Enhancement, Palgrave MacMillan, pp.307-339, 2015
International audience; Ever since the appearance of homo-sapiens, machines have served humans as a "brain nature interface" (BNI) - a means of interacting with nature, including humans and other living beings. The ability to use and manufacture mach
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::92ab39f74fa783aecc29ba2022feecbf
https://hal.archives-ouvertes.fr/hal-00989569
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9
Mutual influence of firing rates of corticomotoneuronal (CM) cells for learning a precision grip task
Autor: Boussaton, Octave, Bougrain, Laurent, Viéville, Thierry, Eskiizmirliler, Selim
Publikováno v: CNS 2011
CNS 2011, Jul 2011, Stockholm, Sweden
International audience; As a part of a Brain-Machine Interface, we define a model for learning and forecasting muscular activity, given sparse cortical activity in the form of action potential signals (spike trains). Whereas very impressive results s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2441f9be4fb7c7fb4fcd28709eb2b9aa
https://hal.inria.fr/hal-00645666
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10
Performance analysis of an off-line BMI for the control of a robotic digit
Autor: Ouanezar, Sofiane, Eskiizmirliler, Selim, Maier, Marc
Publikováno v: Cinquième conférence plénière française de Neurosciences Computationnelles, "Neurocomp'10"
Cinquième conférence plénière française de Neurosciences Computationnelles, "Neurocomp'10", Aug 2010, Lyon, France
Various recent brain-machine interface (BMI) applications have emphasized the potential of using cortical signals for the kinematic control of artificial devices such as robotic arms or legs [1], [2]. However, it is less clear whether hand and digit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ab3b6583c1037a6a58afc4820fb55333
https://hal.archives-ouvertes.fr/hal-00553416
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