Recent study of cell lineage of multi-cellular organism such as C. elegans shows us that cell-cell interaction and localization of gene products take very important role in the development of early embryo [3]. In order to describe such multi-cellular processes, we extend the software tool Genomic Object Net [2, 4] in which we enhanced the hybrid parametrized functional Petri net (HPFPN) model t...

In this paper we develop the gamma neural model, a new neural net architecture for processing of temporal patterns. Time varying patterns are normally segmented into a sequence of static patterns that are successively presented to a neural net. In the approach presented here segmentation is avoided. Only current signal values are presented to the neural net, that adapts its own internal memory ...

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What are neural nets? The biological model: The human brain The components of a neural net What they can and where they fail The learning process What means "learning" refering to neural nets? Supervised and unsupervised learning Forwardpropagation Backpropagation Selforganization