Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Benedikt Feldotto"'
Autor:
Yusuke Kuniyoshi, Rin Kuriyama, Shu Omura, Carlos Enrique Gutierrez, Zhe Sun, Benedikt Feldotto, Ugo Albanese, Alois C. Knoll, Taiki Yamada, Tomoya Hirayama, Fabrice O. Morin, Jun Igarashi, Kenji Doya, Tadashi Yamazaki
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
Embodied simulation with a digital brain model and a realistic musculoskeletal body model provides a means to understand animal behavior and behavioral change. Such simulation can be too large and complex to conduct on a single computer, and so distr
Externí odkaz:
https://doaj.org/article/509650e08bfd4a1c872b9a9850627b04
Autor:
Benedikt Feldotto, Cristian Soare, Alois Knoll, Piyanee Sriya, Sarah Astill, Marc de Kamps, Samit Chakrabarty
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Although we can measure muscle activity and analyze their activation patterns, we understand little about how individual muscles affect the joint torque generated. It is known that they are controlled by circuits in the spinal cord, a system much les
Externí odkaz:
https://doaj.org/article/e3ef8d0559784c66bc6f66484b62b3d3
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Recent experiments indicate that pretraining of end-to-end reinforcement learning neural networks on general tasks can speed up the training process for specific robotic applications. However, it remains open if these networks form general feature ex
Externí odkaz:
https://doaj.org/article/0bef2688a8a14315b3939cc93b206b7a
Autor:
Benedikt Feldotto, Jochen Martin Eppler, Cristian Jimenez-Romero, Christopher Bignamini, Carlos Enrique Gutierrez, Ugo Albanese, Eloy Retamino, Viktor Vorobev, Vahid Zolfaghari, Alex Upton, Zhe Sun, Hiroshi Yamaura, Morteza Heidarinejad, Wouter Klijn, Abigail Morrison, Felipe Cruz, Colin McMurtrie, Alois C. Knoll, Jun Igarashi, Tadashi Yamazaki, Kenji Doya, Fabrice O. Morin
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2022)
Simulating the brain-body-environment trinity in closed loop is an attractive proposal to investigate how perception, motor activity and interactions with the environment shape brain activity, and vice versa. The relevance of this embodied approach,
Externí odkaz:
https://doaj.org/article/27873b2367594477a8be12b4b7a80018
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
The more we investigate the principles of motion learning in biological systems, the more we reveal the central role that body morphology plays in motion execution. Not only does anatomy define the kinematics and therefore the complexity of possible
Externí odkaz:
https://doaj.org/article/90046fe7f73d4f6fb932b93b7d5a2a80
Autor:
Annika Schmidt, Benedikt Feldotto, Thomas Gumpert, Daniel Seidel, Alin Albu-Schäffer, Philipp Stratmann
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
To control highly-dynamic compliant motions such as running or hopping, vertebrates rely on reflexes and Central Pattern Generators (CPGs) as core strategies. However, decoding how much each strategy contributes to the control and how they are adjust
Externí odkaz:
https://doaj.org/article/14c598511fb340f19a6aa54910830fdf
Autor:
Rachael Stentiford, Thomas C. Knowles, Benedikt Feldotto, Deniz Ergene, Fabrice O. Morin, Martin J. Pearson
Publikováno v:
Biomimetic and Biohybrid Systems ISBN: 9783031204692
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cd401ce3afbd7ec1230eba6946c423b
https://doi.org/10.1007/978-3-031-20470-8_39
https://doi.org/10.1007/978-3-031-20470-8_39
Publikováno v:
CBS
In this paper we utilize Numenta's Hierarchical Temporal Memory implementation NuPIC for online visual motion pattern prediction and test its performance on virtual animations as well as real world human motion data. For evaluation we run a series of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04841d172c02c0c0e8185f164782f6b1
https://doi.org/10.1109/cbs46900.2019.9114416
https://doi.org/10.1109/cbs46900.2019.9114416
Publikováno v:
CBS
The development of biomimetic robots has gained research interest in the last years as it may both help understanding processes of motion execution in biological systems as well as developping a novel generation of intelligent and energy efficient ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec70700a8ade34cda0f5f1ac398386d0
https://doi.org/10.1109/cbs46900.2019.9114435
https://doi.org/10.1109/cbs46900.2019.9114435
Publikováno v:
Bioinspiration & Biomimetics. 13:066009
Classical conditioning plays a vital role in learning in every mammal. It is based on unsupervised neural learning embodied in a physical body that is in continuous interaction with the environment. Embedding the hierarchical temporal memory (HTM) in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::024607c69f85a08d1daad36c595a1b27
https://doi.org/10.1088/1748-3190/aae1c2
https://doi.org/10.1088/1748-3190/aae1c2