C. N. Schizas

A generic neuronal model using a block form of operational diagrams is investigated. This formalism is used as an aid for classifying neuronal models according to their idiosyncrasies being the architecture, the activation function and processing element, and the learning rule. The power of this representation is determined by the fact that an easy identification and extraction of the most essential features of single neuron models is allowed. This generic model facilitates the development of new neuronal structures. The investigated model is believed to be generic enough to be a "parent" of most of the existing models and, at the same time, detailed enough to appropriately display all important properties of different models introduced so far. The adoption of block diagrams employing simple component processes introduces a different understanding of neuronal modeling through graphical visualization. This provides an improved understanding of the structure of a model and thus achieves a deeper insight to the relation between structure and dynamics.

Since 1994, we have become a node in the European network NEuroNet (Network of Excellence in Neural Networks), which is supported and funded by the European Union.