A Bio-Inspired Mechanism Based on Neural Threshold Regulation to Compensate Variability in Network Connectivity

Jessica Lopez-Hazas, Francisco B. Rodríguez. A Bio-Inspired Mechanism Based on Neural Threshold Regulation to Compensate Variability in Network Connectivity. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I. Volume 12891 of Lecture Notes in Computer Science, pages 569-580, Springer, 2021. [doi]

@inproceedings{Lopez-HazasR21,
  title = {A Bio-Inspired Mechanism Based on Neural Threshold Regulation to Compensate Variability in Network Connectivity},
  author = {Jessica Lopez-Hazas and Francisco B. Rodríguez},
  year = {2021},
  doi = {10.1007/978-3-030-86362-3_46},
  url = {https://doi.org/10.1007/978-3-030-86362-3_46},
  researchr = {https://researchr.org/publication/Lopez-HazasR21},
  cites = {0},
  citedby = {0},
  pages = {569-580},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I},
  editor = {Igor Farkas and Paolo Masulli and Sebastian Otte and Stefan Wermter},
  volume = {12891},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86362-3},
}