2011-09-Navarro2011Many.bib

@inproceedings{Navarro2011Many,
  abstract = {Classical fear conditioning has experienced a growing interest over the last decade. Fear learning mechanisms are a simple and robust learning paradigm that involves sensory and motor areas. We believe that a deeper study of these mechanisms will contribute not only to a better understanding of fear conditioning but also to the development of future robot generations.},
  address = {{Warsaw, Poland}},
  shorttitle = {{Many-Routes Hypothesis of Fear Conditioning}},
  title = {{Many-Routes Hypothesis of Fear Conditioning: A Dynamical Reservoir Based Approach}},
  url = {http://www.informatik.uni-hamburg.de/~navarro/publications/2011_Navarro_Many-routes.hypothesis.of.fear.conditioning-A.dynamical.reservoir.based.approach.pdf},
  urldate = {2014-08-22},
  booktitle = {{Marie-Curie Researchers Symposium Poster}},
  author = {Navarro, Nicol\'{a}s and Lowe, Robert and Weber, Cornelius and Wermter, Stefan},
  month = sep,
  year = {2011},
  keywords = {amygdala,amygdala models,auditory,computational,computational models,conditioning,echo state,esn,fear,modelling,n,neural networks,own,pavlovian conditioning,posters,reservoir computing,robotdoc,wtm},
}