Ingmar Kanitscheider, Ila Fiete. Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems. In Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett, editors, Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA. pages 4532-4541, 2017. [doi]
@inproceedings{KanitscheiderF17,
title = {Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems},
author = {Ingmar Kanitscheider and Ila Fiete},
year = {2017},
url = {http://papers.nips.cc/paper/7039-training-recurrent-networks-to-generate-hypotheses-about-how-the-brain-solves-hard-navigation-problems},
researchr = {https://researchr.org/publication/KanitscheiderF17},
cites = {0},
citedby = {0},
pages = {4532-4541},
booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA},
editor = {Isabelle Guyon and Ulrike von Luxburg and Samy Bengio and Hanna M. Wallach and Rob Fergus and S. V. N. Vishwanathan and Roman Garnett},
}