Learning to be attractive: Probabilistic computation with dynamic attractor networks

@article{gepperth2016,
  title = {Learning to be attractive: Probabilistic computation with dynamic attractor networks},
  author = {Alexander Gepperth and Mathieu Lefort},
  journal = {ICDL-EPIROB},
  year = {2016},
  month = {Jan},
  doi = {10.1109/devlrn.2016.7846831},
  url = {https://doi.org/10.1109/devlrn.2016.7846831},
}

Alexander Gepperth & Mathieu Lefort (2016). Learning to be attractive: Probabilistic computation with dynamic attractor networks. ICDL-EPIROB. https://doi.org/10.1109/devlrn.2016.7846831

Alexander Gepperth, and Mathieu Lefort. "Learning to be attractive: Probabilistic computation with dynamic attractor networks." ICDL-EPIROB, 2016, https://doi.org/10.1109/devlrn.2016.7846831.

Alexander Gepperth, and Mathieu Lefort. "Learning to be attractive: Probabilistic computation with dynamic attractor networks." ICDL-EPIROB (2016). https://doi.org/10.1109/devlrn.2016.7846831

Alexander Gepperth and Mathieu Lefort, 2016. Learning to be attractive: Probabilistic computation with dynamic attractor networks. ICDL-EPIROB. Available at: <https://doi.org/10.1109/devlrn.2016.7846831>.

TY  - JOUR
TI  - Learning to be attractive: Probabilistic computation with dynamic attractor networks
AU  - Alexander Gepperth
AU  - Mathieu Lefort
PY  - 2016
JO  - ICDL-EPIROB
DO  - 10.1109/devlrn.2016.7846831
UR  - https://doi.org/10.1109/devlrn.2016.7846831
ER  -