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On the weight dynamcis of recurrent learning. Proc. European Symposium Artificial Neural Networks. :73–78.. 2003.
Data Driven Generation of Interactions for Feature Bindingand Relaxation Labeling. Proc. Int. Conf. Artificial Neural Networks. :432–437.. 2002.
Local structural stability of recurrent networks with time-varying weights. Neurocomputing. 48:39–51.. 2002.
Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks. Proc. Int. Conf. Intelligent Robotis and Systems. :1082–1089.. 2002.
A New Wave Neural Network Dynamics for Planning Safe Paths of Autonomous Objects in a Dynamically Changing World. Advances in Neural Networks World. :141–146.. 2002.
Perspectives on Learning with Recurrent Neural Networks. Proc. European Symposium Artificial Neural Networks. :357–368.. 2002.
A Competitive Layer Model for Feature Binding and Sensory Segmentation. Neural Computation. 13:357–387.. 2001.
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Guiding Attention for Grasping Tasks by Gestural Instruction: The GRAVIS-Robot Architecture. Proc. Int. Conf. Intelligent Robots and Sytems. :1570–1577.. 2001.
Local input-output stability of recurrent networks with time-varying weights. Proc. European Symposium Artificial Neural Networks. :281–286.. 2000.
Robust control in closed loops realised by fast signal transmission of infinite gain neurons. Proc. Int. Conf. Artificial Neural Networks. 1:260–266.. 2000.
Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation. Proc. European Symposium Artificial Neural Networks. :369–374.. 1999.
Recurrent Learning of Input-Output Stable Behaviour in Function Space: A Case Study with the Roessler Attractor. Proc. Int. Conf. Artificial Neural Networks. :761–766.. 1999.
Input-Output Stability of Recurrent Neural Networks with Delays using Circle Criteria. Proc. Int. ICSC/IFAC Symposium on Neural Computation. :519–525.. 1998.
A Layered Recurrent Neural Network for Feature Grouping. Int. Conf. on Artificial Neural Networks. :439–444.. 1997.