This paper deals with denoising of density images with bad Poisson statistics (low count rates), where the reconstruction of the major structures seems the only reasonable task. Ob...
Since the functional magnetic resonance imaging (fMRI) signal is likely to re ect a spatial average of the activity of neurons with partly dissimilar response properties, its inte...
Single System Image (SSI) Distributed Operating Systems have been the subject of increasing interest in recent years. This interest has been fueled primarily by the trend towards ...
Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
In this paper, image processing and symbol processing are bridged with a common framework. A new computational architecture allows arbitrary fixed images to be used as attractors ...