Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition

Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman. Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition. In Giuseppe Nicosia, Varun Ojha 0001, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton, editors, Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II. Volume 13811 of Lecture Notes in Computer Science, pages 488-501, Springer, 2022. [doi]

@inproceedings{RavichandranLH22,
  title = {Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition},
  author = {Naresh Balaji Ravichandran and Anders Lansner and Pawel Andrzej Herman},
  year = {2022},
  doi = {10.1007/978-3-031-25891-6_37},
  url = {https://doi.org/10.1007/978-3-031-25891-6_37},
  researchr = {https://researchr.org/publication/RavichandranLH22},
  cites = {0},
  citedby = {0},
  pages = {488-501},
  booktitle = {Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II},
  editor = {Giuseppe Nicosia and Varun Ojha 0001 and Emanuele La Malfa and Gabriele La Malfa and Panos M. Pardalos and Giuseppe Di Fatta and Giovanni Giuffrida and Renato Umeton},
  volume = {13811},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-25891-6},
}