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pro vyhledávání: '"Tobias Pistohl"'
Autor:
Tobias Pistohl, Thomas Sebastian Benedikt Schmidt, Tonio Ball, Andreas Schulze-Bonhage, Ad Aertsen, Carsten Mehring
Publikováno v:
PLoS ONE, Vol 8, Iss 1, p e54658 (2013)
Various movement parameters of grasping movements, like velocity or type of the grasp, have been successfully decoded from neural activity. However, the question of movement event detection from brain activity, that is, decoding the time at which an
Externí odkaz:
https://doaj.org/article/e7c81e08ba274ecf8bef2e38a11b746a
Autor:
Michael Mace, M. Blüher, Olaf Blanke, Carsten Mehring, Etienne Burdet, A.-S. Buschhoff, Tobias Pistohl, Luke Bashford, H. Choi, Michel Akselrod, A. Cheah, Andrea Serino, Roy Salomon
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
Nature Communications
Nature communications, vol. 10, no. 1, pp. 2401
Nature Communications
Nature communications, vol. 10, no. 1, pp. 2401
Neurotechnology attempts to develop supernumerary limbs, but can the human brain deal with the complexity to control an extra limb and yield advantages from it? Here, we analyzed the neuromechanics and manipulation abilities of two polydactyly subjec
Autor:
Petr Marusic, Jörg Fischer, Pavel Krsek, Jiří Hammer, Martin Tomášek, Andreas Schulze-Bonhage, Tonio Ball, Tobias Pistohl, Ad Aertsen
Publikováno v:
Cerebral Cortex (New York, NY)
How neuronal activity of motor cortex is related to movement is a central topic in motor neuroscience. Motor-cortical single neurons are more closely related to hand movement velocity than speed, that is, the magnitude of the (directional) velocity v
Publikováno v:
NeuroImage. 59:248-260
Electrocorticographic (ECoG) signals have been successfully used to provide information about arm movement direction, individual finger movements and even continuous arm movement trajectories. Thus, ECoG has been proposed as a potential control signa
Publikováno v:
Journal of Neuroscience Methods. 167:105-114
Electrocorticographic (ECoG) signals have been shown to contain reliable information about the direction of arm movements and can be used for on-line cursor control. These findings indicate that the ECoG is a potential basis for a brain-machine inter
Publikováno v:
EMBC
The typical control of myoelectric interfaces, be it in real-life prosthetic applications or laboratory settings, largely relies on visual feedback, while proprioceptive feedback from controlling muscles is not very informative about the task carried
Publikováno v:
Annals of Biomedical Engineering
Pistohl, T, Cipriani, C, Jackson, A & Nazarpour, K 2013, ' Abstract and proportional myoelectric control for multi-fingered hand prostheses ', Annals of Biomedical Engineering, vol. 41, no. 12, pp. 2687–2698 . https://doi.org/10.1007/s10439-013-0876-5
Pistohl, T, Cipriani, C, Jackson, A & Nazarpour, K 2013, ' Abstract and proportional myoelectric control for multi-fingered hand prostheses ', Annals of Biomedical Engineering, vol. 41, no. 12, pp. 2687–2698 . https://doi.org/10.1007/s10439-013-0876-5
Powered hand prostheses with many degrees of freedom are moving from research into the market for prosthetics. In order to make use of the prostheses’ full functionality, it is essential to study efficient ways of high dimensional myoelectric contr
Publikováno v:
Journal of physiology, Paris. 103(3-5)
Brain-machine interfaces (BMIs) can be characterized by the technique used to measure brain activity and by the way different brain signals are translated into commands that control an effector. We give an overview of different approaches and focus o
Publikováno v:
First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings..
We present a novel technique for interfacing between a neural network simulation and living neurons. In two experiments we demonstrate how such hybrid in vitro - in virtu networks can be used to investigate neuronal function and to test model predict
Autor:
Johanna Ruescher, Jörn Rickert, Andreas Schulze-Bonhage, Ad Aertsen, Carsten Mehring, Tobias Pistohl, Tonio Ball, Tomislav Milekovic, Jörg Fischer
Publikováno v:
Journal of Neural Engineering. 9:046003
A brain–machine interface (BMI) can be used to control movements of an artificial effector, e.g. movements of an arm prosthesis, by motor cortical signals that control the equivalent movements of the corresponding body part, e.g. arm movements. Thi