Modeling parietal-premotor interactions in primate control of grasping
Neural Networks - Special issue on neural control and robotics: biology and technology
Representation and recognition in vision
Representation and recognition in vision
Image-based object recognition in man, monkey and machine
Object recognition in man, monkey, and machine
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Minimizing Binding Errors Using Learned Conjunctive Features
Neural Computation
2006 Special issue: Mirror neurons and imitation: A computationally guided review
Neural Networks - 2006 Special issue: The brain mechanisms of imitation learning
Neural Networks - 2006 Special issue: The brain mechanisms of imitation learning
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
Robust Object Recognition with Cortex-Like Mechanisms
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Mirror neurons in monkey premotor cortex of are active during the motor planning and the visual observation of actions. These neurons have recently received a vast amount of interest in cognitive neuroscience and have been discussed as potential basis of imitation learning and the understanding of actions. We present a model that explains visual properties of mirror neurons without a reconstruction of the three-dimensional structure of action and object. The proposed model is based on a small number of physiologically well-established principles. In addition, it postulates novel neural mechanisms for the integration of information about object and effector movement, which can be tested in electrophysiological experiments.