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Article
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing information from its input and m...
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Chapter
Robot Bouncing: On the Synergy Between Neural and Body-Environment Dynamics
The study of how infants strapped in a Jolly Jumper learn to bounce can help clarify how they explore different ways of exploiting the dynamics of their movements. In this paper, we describe and discuss a set ...
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Chapter and Conference Paper
Understanding Subjectivity: An Interactionist View
User modeling is traditionally about constructing an explicit representation of the user. We argue against such approach because it overlooks the real nature of the human brain: plasticity and absence of monol...
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Article
Emergence and Categorization of Coordinated Visual Behavior Through Embodied Interaction
This paper discusses the emergence of sensorimotor coordination for ESCHeR, a 4DOF redundant foveated rob ot-head, by interaction with its environment. A feedback-error-learning(FEL)-based distributed control ...