NIPS Proceedingsβ

H. Sebastian Seung

11 Papers

  • Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction (2015)
  • Algorithms for Non-negative Matrix Factorization (2000)
  • Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks (2000)
  • Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks (2000)
  • Spike-based Learning Rules and Stabilization of Persistent Neural Activity (1999)
  • Learning Continuous Attractors in Recurrent Networks (1997)
  • Learning Generative Models with the Up Propagation Algorithm (1997)
  • Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks (1997)
  • The Rectified Gaussian Distribution (1997)
  • Unsupervised Learning by Convex and Conic Coding (1996)
  • Information, Prediction, and Query by Committee (1992)