%0 Journal Article %1 journals/cogcom/VanHorenbekeP23 %A Van-Horenbeke, Franz A. %A Peer, Angelika %D 2023 %J Cogn. Comput. %K dblp %N 5 %P 1549-1565 %T NILRNN: A Neocortex-Inspired Locally Recurrent Neural Network for Unsupervised Feature Learning in Sequential Data. %U http://dblp.uni-trier.de/db/journals/cogcom/cogcom15.html#VanHorenbekeP23 %V 15

@article{journals/cogcom/VanHorenbekeP23, added-at = {2023-11-01T00:00:00.000+0100}, author = {Van-Horenbeke, Franz A. and Peer, Angelika}, biburl = {https://www.bibsonomy.org/bibtex/2794373a1251b20daecd31ae9c7977298/dblp}, ee = {https://doi.org/10.1007/s12559-023-10122-x}, interhash = {90f34d389df9b69215eb12ee3a77ea97}, intrahash = {794373a1251b20daecd31ae9c7977298}, journal = {Cogn. Comput.}, keywords = {dblp}, month = {September}, number = 5, pages = {1549-1565}, timestamp = {2024-04-08T12:46:30.000+0200}, title = {NILRNN: A Neocortex-Inspired Locally Recurrent Neural Network for Unsupervised Feature Learning in Sequential Data.}, url = {http://dblp.uni-trier.de/db/journals/cogcom/cogcom15.html#VanHorenbekeP23}, volume = 15, year = 2023 }