Modeling and quantifying diļ¬erent human factors continue to be one of the major challenges in introducing new biometric systems. For example, drivers of some of our behavior diļ...
We present a biologically motivated architecture for object recognition that is based on a hierarchical feature-detection model in combination with a memory architecture that impl...
We propose a novel, high-level model of human learning and cognition, based on association forming. The model conļ¬gures any input data stream featuring a high incidence of repeti...
MIIND (Multiple Interacting Instantiations of Neural Dynamics) is a highly modular multi-level C++ framework, that aims to shorten the development time for models in Cognitive Neu...
Marc de Kamps, Volker Baier, Johannes Drever, Mela...
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi