Neural Networks

In the past decade, the methods of statistical mechanics have been successfully applied to the theory of neural networks. The current status of the statistical physics of neural networks was reviewed at this workshop and prospects for the future examined. Recent interdisciplinary developments involving related fields such as computational learning theory, statistics, information theory, and nonlinear dynamics were also presented. These proceedings include contributions by S Amari, H Sompolinsky, Y LeCun, I Kanter, D Haussler, H S Seung, M Opper, M Kearns and M Biehl.