Temporal Hebbian Learning in Rate-Coded Neural Networks: A Theoretical Approach towards Classical Conditioning

Bernd Porr, Florentin Wörgötter. Temporal Hebbian Learning in Rate-Coded Neural Networks: A Theoretical Approach towards Classical Conditioning. In Georg Dorffner, Horst Bischof, Kurt Hornik, editors, Artificial Neural Networks - ICANN 2001, International Conference Vienna, Austria, August 21-25, 2001 Proceedings. Volume 2130 of Lecture Notes in Computer Science, pages 1115-1120, Springer, 2001. [doi]

@inproceedings{PorrW01,
  title = {Temporal Hebbian Learning in Rate-Coded Neural Networks: A Theoretical Approach towards Classical Conditioning},
  author = {Bernd Porr and Florentin Wörgötter},
  year = {2001},
  url = {http://link.springer.de/link/service/series/0558/bibs/2130/21301115.htm},
  tags = {systematic-approach},
  researchr = {https://researchr.org/publication/PorrW01},
  cites = {0},
  citedby = {0},
  pages = {1115-1120},
  booktitle = {Artificial Neural Networks - ICANN 2001, International Conference Vienna, Austria, August 21-25, 2001 Proceedings},
  editor = {Georg Dorffner and Horst Bischof and Kurt Hornik},
  volume = {2130},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-42486-5},
}