@article{dewolf2017,
  author={DeWolf, Travis and Eliasmith, Chris},
  title={Trajectory generation using a spiking neuron implementation of dynamic movement primitives},
  journal={27th Annual Meeting for the Society for the Neural Control of Movement},
  year={2017},
  url={https://github.com/studywolf/NDMPS-paper/blob/master/DeWolf\%20and\%20Eliasmith\%2C\%202017\%20-\%20Poster.pdf},
  abstract={We present a trajectory generating circuit using efficient function
    representation coding in a spiking neural network that can generate
    multiple complex trajectories dynamically from a single network.
    Integrating multiple trajectories within a single network allows us to
    explore the transitions between movements. We suggest that this kind of
    network is a possible mechanism for efficiently storing a wide array of
    movement features in the cortex, and compare our results to experimental data.}
}