Multi-valued neurons (MVN) are the neural processing elements with complex-valued weights and high functionality. It is possible
to implement an arbitrary mapping described by partial-defined multiple-valued function on the single MVN. The MVN-based neural
networks are applied to temporal classification of images of gene expression patterns, obtained by confocal scanning microscopy.