| 621 | -- | 642 | John E. Lewis, Leon Glass. Nonlinear Dynamics and Symbolic Dynamics of Neural Networks |
| 643 | -- | 646 | William R. Softky, Christof Koch. Cortical Cells Should Fire Regularly, But Do Not |
| 647 | -- | 649 | Robert E. Jenkins, Ben P. Yuhas. A Simplified Neural-Network Solution through Problem Decomposition: The Case of the Truck Backer-Upper |
| 650 | -- | 665 | Michael C. Mozer, Richard S. Zemel, Marlene Behrmann, Christopher K. I. Williams. Learning to Segment Images Using Dynamic Feature Binding |
| 666 | -- | 681 | Peter König, Bernd Janosch, Thomas B. Schillen. Stimulus-Dependent Assembly Formation of Oscillatory Responses: III. Learning |
| 682 | -- | 690 | Daniel L. Ruderman, William Bialek. Seeing Beyond the Nyquist Limit |
| 691 | -- | 702 | Ralph Linsker. Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network |
| 703 | -- | 711 | Günther Palm. On the Information Storage Capacity of Local Learning Rules |
| 712 | -- | 719 | Yoshiyuki Kabashima, Shigeru Shinomoto. Learning Curves for Error Minimum and Maximum Likelihood Algorithms |
| 720 | -- | 736 | David J. C. MacKay. The Evidence Framework Applied to Classification Networks |
| 737 | -- | 745 | Lars Gislén, Carsten Peterson, Bo Söderberg. Rotor Neurons: Basic Formalism and Dynamics |
| 746 | -- | 757 | Gary M. Scott, Jude W. Shavlik, W. Harmon Ray. Refining PID Controllers Using Neural Networks |
| 758 | -- | 771 | Denis M. Anthony, Evor L. Hines, David A. Hutchins, J. Toby Mottram. Ultrasound Tomography Imaging of Defects Using Neural Networks |
| 772 | -- | 780 | William G. Baxt. Improving the Accuracy of an Artificial Neural Network Using Multiple Differently Trained Networks |