Passive attention in artificial neural networks predicts human visual selectivity

Thomas A. Langlois, H. Charles Zhao, Erin Grant, Ishita Dasgupta, Thomas L. Griffiths, Nori Jacoby. Passive attention in artificial neural networks predicts human visual selectivity. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 27094-27106, 2021. [doi]

@inproceedings{LangloisZGDGJ21,
  title = {Passive attention in artificial neural networks predicts human visual selectivity},
  author = {Thomas A. Langlois and H. Charles Zhao and Erin Grant and Ishita Dasgupta and Thomas L. Griffiths and Nori Jacoby},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/e360367584297ee8d2d5afa709cd440e-Abstract.html},
  researchr = {https://researchr.org/publication/LangloisZGDGJ21},
  cites = {0},
  citedby = {0},
  pages = {27094-27106},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}