Integrating multi-sensory input in the body model – a RNN approach to connect proprioception, visual features and motor control
Schilling M (2011)
In: Proceedings of the International Joint Conference on Neural Networks 2011, San Jose (CA).
Konferenzbeitrag
| Veröffentlicht | Englisch
Download
FINAL_PID1834471.pdf
1.34 MB
Autor*in
Erscheinungsjahr
2011
Titel des Konferenzbandes
Proceedings of the International Joint Conference on Neural Networks 2011, San Jose (CA)
Page URI
https://pub.uni-bielefeld.de/record/2284314
Zitieren
Schilling M. Integrating multi-sensory input in the body model – a RNN approach to connect proprioception, visual features and motor control. In: Proceedings of the International Joint Conference on Neural Networks 2011, San Jose (CA). 2011.
Schilling, M. (2011). Integrating multi-sensory input in the body model – a RNN approach to connect proprioception, visual features and motor control. Proceedings of the International Joint Conference on Neural Networks 2011, San Jose (CA)
Schilling, Malte. 2011. “Integrating multi-sensory input in the body model – a RNN approach to connect proprioception, visual features and motor control”. In Proceedings of the International Joint Conference on Neural Networks 2011, San Jose (CA).
Schilling, M. (2011). “Integrating multi-sensory input in the body model – a RNN approach to connect proprioception, visual features and motor control” in Proceedings of the International Joint Conference on Neural Networks 2011, San Jose (CA).
Schilling, M., 2011. Integrating multi-sensory input in the body model – a RNN approach to connect proprioception, visual features and motor control. In Proceedings of the International Joint Conference on Neural Networks 2011, San Jose (CA).
M. Schilling, “Integrating multi-sensory input in the body model – a RNN approach to connect proprioception, visual features and motor control”, Proceedings of the International Joint Conference on Neural Networks 2011, San Jose (CA), 2011.
Schilling, M.: Integrating multi-sensory input in the body model – a RNN approach to connect proprioception, visual features and motor control. Proceedings of the International Joint Conference on Neural Networks 2011, San Jose (CA). (2011).
Schilling, Malte. “Integrating multi-sensory input in the body model – a RNN approach to connect proprioception, visual features and motor control”. Proceedings of the International Joint Conference on Neural Networks 2011, San Jose (CA). 2011.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Copyright Statement:
Dieses Objekt ist durch das Urheberrecht und/oder verwandte Schutzrechte geschützt. [...]
Volltext(e)
Name
FINAL_PID1834471.pdf
1.34 MB
Access Level
Open Access
Zuletzt Hochgeladen
2019-09-06T08:57:34Z
MD5 Prüfsumme
381ced0e91b13e6ba94901cea9a99093
Google Scholar