We present a new approach to the supervised learning of lateral interactions for the competitive layer model (CLM) dynamic feature binding architecture. The method is based on con...
In this paper we propose a meta-modeling approach to adaptive knowledge management. It extends previous work by introducing an application-specific layer which allows to specify m...
Action potentials evoke calcium transients in dendrites of neocortical pyramidal neurons with time constants of <100 ms at physiological temperature. This time period may not be...
The aim of binding-time analysis is to determine when variables, expressions, statements, etc. in a program can be evaluated by classifying these into static (compile-time) and dy...
Many of today's complex computer applications are being modeled and constructed using the principles inherent to real-time distributed object systems. In response to this dem...