| 795 | -- | 836 | Marius Usher, Martin Stemmler, Christof Koch, Zeev Olami. Network Amplification of Local Fluctuations Causes High Spike Rate Variability, Fractal Firing Patterns and Oscillatory Local Field Potentials |
| 837 | -- | 841 | Alan M. N. Fu. Statistical Analysis of an Autoassociative Memory Network |
| 842 | -- | 850 | Jirà SÃma. Loading Deep Networks Is Hard |
| 851 | -- | 876 | Vladimir Vapnik, Esther Levin, Yann LeCun. Measuring the VC-Dimension of a Learning Machine |
| 877 | -- | 884 | Wolfgang Maass. Neural Nets with Superlinear VC-Dimension |
| 885 | -- | 901 | Jihong Lee. A Novel Design Method for Multilayer Feedforward Neural Networks |
| 902 | -- | 915 | Jean-Dominique Gascuel, Bahram Moobed, Michel Weinfeld. An Internal Mechanism for Detecting Parasite Attractors in a Hopfield Network |
| 916 | -- | 926 | Thorsteinn Rögnvaldsson. On Langevin Updating in Multilayer Perceptrons |
| 927 | -- | 943 | Hossam Osman, Moustafa M. Fahmy. Probabilistic Winner-Take-All Learning Algorithm for Radial-Basis-Function Neural Classifiers |
| 944 | -- | 956 | T. Matsumoto, K. Kondo. Realization of the "Weak Rod" by a Double Layer Parallel Network |
| 957 | -- | 982 | Daniel J. Amit, Stefano Fusi. Learning in Neural Networks with Material Synapses |
| 983 | -- | 1004 | Pierre-Yves Burgi, Norberto M. Grzywacz. Model Based on Extracellular Potassium for Spontaneous Synchronous Activity in Developing Retinas |
| 1005 | -- | 1030 | Michael S. Lewicki. Bayesian Modeling and Classification of Neural Signals |