Analogical transfer in sequence learning. Human and neural-network models of frontostriatal function.

@article{Dominey1995AnalogicalTI,
  title={Analogical transfer in sequence learning. Human and neural-network models of frontostriatal function.},
  author={Peter Ford Dominey and Jocelyne Ventre-Dominey and Emmanuel Broussolle and Marc Jeannerod},
  journal={Annals of the New York Academy of Sciences},
  year={1995},
  volume={769},
  pages={369-73}
}
Analogical transfer in problem solving is a fundamental aspect of human intelligence that involves exploiting knowledge about the solution for one problem to solve an0ther.l In order to provide a quantifiable measure of analogical transfer in sequence learning (ATSL), we developed a novel extension of the serial reaction time (SRT) paradigm. To quantify the underlying representational and computational requirements for ATSL we extended a neurobiologically based model of primate prefrontal… CONTINUE READING