| Neural Network Classifiers Estimate Bayesian a posteriori Probabilities | 1991/12/01 | English | 441 |
| Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks | 2004/07/01 | English | 440 |
| Information-Based Objective Functions for Active Data Selection | 1992/07/01 | English | 424 |
| What Does the Retina Know about Natural Scenes? | 1992/03/01 | English | 399 |
| Representational Power of Restricted Boltzmann Machines and Deep Belief Networks | 2008/06/01 | English | 398 |
| Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis | 2009/03/01 | English | 392 |
| Synchrony in Excitatory Neural Networks | 1995/03/01 | English | 390 |
| The Brain Binds Entities and Events by Multiregional Activation from Convergence Zones | 1989/03/01 | English | 388 |
| Approximation and Radial-Basis-Function Networks | 1993/03/01 | English | 379 |
| Layered Neural Networks with Gaussian Hidden Units as Universal Approximations | 1990/06/01 | English | 379 |
| Dictionary Learning Algorithms for Sparse Representation | 2003/02/01 | English | 365 |
| Reinforcement Learning in Continuous Time and Space | 2000/01/01 | English | 357 |
| MOSAIC Model for Sensorimotor Learning and Control | 2001/10/01 | English | 352 |
| Alternating and Synchronous Rhythms in Reciprocally Inhibitory Model Neurons | 1992/01/01 | English | 348 |
| On the Phase Reduction and Response Dynamics of Neural Oscillator Populations | 2004/04/01 | English | 330 |
| The Evidence Framework Applied to Classification Networks | 1992/09/01 | English | 319 |
| Synchronization in Networks of Excitatory and Inhibitory Neurons with Sparse, Random Connectivity | 2003/03/01 | English | 319 |
| Learning Invariance from Transformation Sequences | 1991/06/01 | English | 311 |
| Blind Source Separation by Sparse Decomposition in a Signal Dictionary | 2001/04/01 | English | 310 |
| On Convergence Properties of the EM Algorithm for Gaussian Mixtures | 1996/01/01 | English | 309 |
| Dimension Reduction by Local Principal Component Analysis | 1997/10/01 | English | 309 |
| Training a Support Vector Machine in the Primal | 2007/05/01 | English | 309 |
| A Universal Model for Spike-Frequency Adaptation | 2003/11/01 | English | 307 |
| A Unifying Review of Linear Gaussian Models | 1999/02/01 | English | 304 |
| The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis | 2002/02/01 | English | 299 |
| A Novel Spike Distance | 2001/04/01 | English | 297 |
| An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding | 1994/01/01 | English | 293 |
| Ion Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike Timing | 1998/10/01 | English | 292 |
| Towards a Theory of Early Visual Processing | 1990/09/01 | English | 289 |
| Separating Style and Content with Bilinear Models | 2000/06/01 | English | 286 |