We describe a neurobiologically plausible model to implement dynamic routing using the concept of neuronal communication through neuronal coherence. The model has a three-tier arc...
Devarajan Sridharan, Brian Percival, John V. Arthu...
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 ...
We study a variation of the boundary labelling problem, with floating sites (represented as polygons), labels of uniform size placed in fixed positions on the boundary of a rectan...
Michael A. Bekos, Michael Kaufmann, Katerina Potik...
Understanding the process of categorization is a primary research goal in artificial intelligence. The conceptual space framework provides a flexible approach to modeling context-...
Abstract— We propose a new delay-constrained minimumhop distributed routing algorithm (DCMH) for unicastrouting. DCMH uses a novel path feasibility prediction (PFP) model that is...