Learning touch preferences with a tactile robot using dopamine modulated STDP in a model of insular cortex

@inproceedings{Chou2015LearningTP,
  title={Learning touch preferences with a tactile robot using dopamine modulated STDP in a model of insular cortex},
  author={Ting-Shuo Chou and Liam D. Bucci and Jeffrey L. Krichmar},
  booktitle={Front. Neurorobot.},
  year={2015}
}
Neurorobots enable researchers to study how behaviors are produced by neural mechanisms in an uncertain, noisy, real-world environment. To investigate how the somatosensory system processes noisy, real-world touch inputs, we introduce a neurorobot called CARL-SJR, which has a full-body tactile sensory area. The design of CARL-SJR is such that it encourages people to communicate with it through gentle touch. CARL-SJR provides feedback to users by displaying bright colors on its surface. In the… CONTINUE READING
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