A joint maximum-entropy model for binary neural population patterns and continuous signals

Sebastian Gerwinn, Philipp Berens, Matthias Bethge. A joint maximum-entropy model for binary neural population patterns and continuous signals. In Yoshua Bengio, Dale Schuurmans, John D. Lafferty, Christopher K. I. Williams, Aron Culotta, editors, Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada. pages 620-628, Curran Associates, Inc., 2009. [doi]

@inproceedings{GerwinnBB09,
  title = {A joint maximum-entropy model for binary neural population patterns and continuous signals},
  author = {Sebastian Gerwinn and Philipp Berens and Matthias Bethge},
  year = {2009},
  url = {http://books.nips.cc/papers/files/nips22/NIPS2009_0232.pdf},
  researchr = {https://researchr.org/publication/GerwinnBB09},
  cites = {0},
  citedby = {0},
  pages = {620-628},
  booktitle = {Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada},
  editor = {Yoshua Bengio and Dale Schuurmans and John D. Lafferty and Christopher K. I. Williams and Aron Culotta},
  publisher = {Curran Associates, Inc.},
  isbn = {9781615679119},
}