Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model

Yijing Watkins, Edward Kim, Andrew Sornborger, Garrett T. Kenyon. Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2020, Seattle, WA, USA, June 14-19, 2020. pages 1482-1487, IEEE, 2020. [doi]

@inproceedings{WatkinsKSK20,
  title = {Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model},
  author = {Yijing Watkins and Edward Kim and Andrew Sornborger and Garrett T. Kenyon},
  year = {2020},
  doi = {10.1109/CVPRW50498.2020.00188},
  url = {https://doi.org/10.1109/CVPRW50498.2020.00188},
  researchr = {https://researchr.org/publication/WatkinsKSK20},
  cites = {0},
  citedby = {0},
  pages = {1482-1487},
  booktitle = {2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2020, Seattle, WA, USA, June 14-19, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-9360-1},
}