| 219 | -- | 269 | Federico Girosi, Michael J. Jones, Tomaso A. Poggio. Regularization Theory and Neural Networks Architectures |
| 270 | -- | 279 | Dimitri P. Bertsekas. A Counterexample to Temporal Differences Learning |
| 280 | -- | 283 | Eel-Wan Lee, Soo-Ik Chae. New Perceptron Model Using Random Bitstreams |
| 284 | -- | 289 | Marco Budinich, John G. Taylor. On the Ordering Conditions for Self-Organizing Maps |
| 290 | -- | 306 | Ruye Wang. A simple competitive account of some response properties of visual neurons in area MSTd |
| 307 | -- | 337 | David Hansel, Germán Mato, Claude Meunier. Synchrony in excitatory neural networks |
| 338 | -- | 348 | Gustavo Deco, Dragan Obradovic. Decorrelated Hebbian Learning for Clustering and Function Approximation |
| 349 | -- | 369 | Asriel U. Levin, Kumpati S. Narendra. Identification Using Feedforward Networks |
| 358 | -- | 369 | Sung-Bae Cho, Jin H. Kim. An HMM/MLP Architecture for Sequence Recognition |
| 370 | -- | 379 | Tom Bylander. Learning Linear Threshold Approximations Using Perceptrons |
| 380 | -- | 398 | Guillaume Deffuant. An Algorithm for Building Regularized Piecewise Linear Discrimination Surfaces: The Perceptron Membrane |
| 399 | -- | 407 | Alessandro Treves, Stefano Panzeri. The Upward Bias in Measures of Information Derived from Limited Data Samples |
| 408 | -- | 423 | Shimon Edelman. Representation of similarity in three-dimensional object discrimination |