Gain-Fields Neural Networks for Body Image and Embodied Simulation in Robots

@inproceedings{Pitti2013GainFieldsNN,
  title={Gain-Fields Neural Networks for Body Image and Embodied Simulation in Robots},
  author={Alex Pitti},
  year={2013}
}
The so-called self-other correspondence problem in imitation demands to find the transformation that maps the motor dynamics of one partner to our owns. This requires a general purpose sensorimotor mechanism that transforms an external fixation-point (partner’s shoulder) reference frame to one’s own body-centered reference frame. We propose that the mechanism of gainmodulation observed in parietal neurons may generally serve these types of transformations by binding the sensory signals across… CONTINUE READING