Self-organizing maps
2006 Special issue: Mirror neurons and imitation: A computationally guided review
Neural Networks - 2006 Special issue: The brain mechanisms of imitation learning
Extending the mirror neuron system model, I: Audible actions and invisible grasps
Biological Cybernetics
Eight problems for the mirror neuron theory of action understanding in monkeys and humans
Journal of Cognitive Neuroscience
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Considerations for a neuroscience-inspired approach to the design of artificial intelligent systems
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
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Computational models of the mirror (neuron) system are attractive in robotics as they may inspire novel approaches to implement e.g. action understanding. Here, we present a simple self-organising map which forms the first part of larger ongoing work in building such a model. We show that minor modifications to the standard implementation of such a map allows it to continuously learn new motor concepts. We find that this learning is facilitated by an initial motor babbling phase, which is in line with an embodied view of cognition. Interestingly, we also find that the map is capable of reproducing neurophysiological data on goal-encoding mirror neurons. Overall, our model thus fulfils the crucial requirement of being able to learn new information throughout its lifetime. Further, although conceptually simple, its behaviour has interesting parallels to both cognitive and neuroscientific evidence.