Anomaly Detection in Invasively Recorded Neuronal Signals Using Deep Neural Network: Effect of Sampling Frequency

Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi. Anomaly Detection in Invasively Recorded Neuronal Signals Using Deep Neural Network: Effect of Sampling Frequency. In Mufti Mahmud, M. Shamim Kaiser, Nikola K. Kasabov, Khan Iftekharuddin, Ning Zhong 0001, editors, Applied Intelligence and Informatics - First International Conference, AII 2021, Nottingham, UK, July 30-31, 2021, Proceedings. Volume 1435 of Communications in Computer and Information Science, pages 79-91, Springer, 2021. [doi]

@inproceedings{FabiettiML21,
  title = {Anomaly Detection in Invasively Recorded Neuronal Signals Using Deep Neural Network: Effect of Sampling Frequency},
  author = {Marcos Fabietti and Mufti Mahmud and Ahmad Lotfi},
  year = {2021},
  doi = {10.1007/978-3-030-82269-9_7},
  url = {https://doi.org/10.1007/978-3-030-82269-9_7},
  researchr = {https://researchr.org/publication/FabiettiML21},
  cites = {0},
  citedby = {0},
  pages = {79-91},
  booktitle = {Applied Intelligence and Informatics - First International Conference, AII 2021, Nottingham, UK, July 30-31, 2021, Proceedings},
  editor = {Mufti Mahmud and M. Shamim Kaiser and Nikola K. Kasabov and Khan Iftekharuddin and Ning Zhong 0001},
  volume = {1435},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-82269-9},
}