Publication Details
Title: Integrating multi-sensory input in the body model, an RNN approach to connect proprioception, visual features and motor control
Author: M. Schilling
Group: AI
Date: July 2011
PDF: http://www.icsi.berkeley.edu/pubs/ai/rnnapproach11.pdf
Acknowledgements:
This work was partially funded by the Deutscher Akademischer Austausch Diesnst (DAAD) through a postdoctoral fellowship.
Bibliographic Information:
Proceedings of the International Joint Conference on Neural Networks (IJCNN 2011), San Jose, California
Bibliographic Reference:
M. Schilling. Integrating multi-sensory input in the body model, an RNN approach to connect proprioception, visual features and motor control. Proceedings of the International Joint Conference on Neural Networks (IJCNN 2011), San Jose, California, July 2011
Author: M. Schilling
Group: AI
Date: July 2011
PDF: http://www.icsi.berkeley.edu/pubs/ai/rnnapproach11.pdf
Acknowledgements:
This work was partially funded by the Deutscher Akademischer Austausch Diesnst (DAAD) through a postdoctoral fellowship.
Bibliographic Information:
Proceedings of the International Joint Conference on Neural Networks (IJCNN 2011), San Jose, California
Bibliographic Reference:
M. Schilling. Integrating multi-sensory input in the body model, an RNN approach to connect proprioception, visual features and motor control. Proceedings of the International Joint Conference on Neural Networks (IJCNN 2011), San Jose, California, July 2011