Abstract We study the influence of spatially correlated noise on the transient dynamics of a recurrent network with Mexican-Hat type connectivity. We derive the closed form of the ...
— A spiking neural network model is used to identify characters in a character set. The network is a two layered structure consisting of integrate-and-fire and active dendrite n...
In this paper, we propose an adaptive self- stabilizing algorithm for producing a d-hop connected d-hop dominating set. In the algorithm, the set is cumulatively built with commun...
— Although there is a trend in reducing the number of layers in core and metropolitan area networks, still the optimal design of multi-layer networks (like IP over WDM) remains a...
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...