Sensors are often indicative of events of interest, or events which a system should be aware of and should react to. In particular, such indications may reflect unsteadiness or in...
Amir Padovitz, Arkady B. Zaslavsky, Seng Wai Loke,...
Object identification via a perceptual-demonstrative mode of presentation has been studied in cognitive science as a particularly direct and context-dependent means of identifying ...
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how local learning rules at single synapses su...
Robert A. Legenstein, Dejan Pecevski, Wolfgang Maa...
We develop a novel framework for supporting e-Science applications that require streaming of information between sites. Using a Synchronous Dataflow (SDF) model, our framework inco...
500+ MHz designs using deep-submicron (DSM) copper interconnects require accurate and efficient modeling of cladding-metals’ frequency-dependent impedance [1]. In this paper, fo...