Traditional network analysis tools support analysts in studying a single network. ManyNets offers these analysts a powerful new approach that enables them to work on multiple netw...
Manuel Freire, Catherine Plaisant, Ben Shneiderman...
— Neuromorphic motion sensors are attractive for use on battery powered robots which require a low payload. Their features include low power consumption, continuous computation, ...
Lukas Reichel, David Liechti, Karl Presser, Shih-C...
This paper is an attempt to incorporate the idea of spiking neurons into the area of membrane computing, and to this aim we introduce a class of neural-like P systems which we cal...
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Adaptation to changing environmental conditions is a major challenge for most distributed applications. The service-oriented programming paradigm leads to an increasing number of ...