NIPS Proceedingsβ

Daniel L. Yamins

6 Papers

  • Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs (2019)
  • Flexible neural representation for physics prediction (2018)
  • Learning to Play With Intrinsically-Motivated, Self-Aware Agents (2018)
  • Task-Driven Convolutional Recurrent Models of the Visual System (2018)
  • Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System (2017)
  • Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream (2013)