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Now showing items 11-20 of 219
A combinatorial treatment of balancing networks
(1996)
Balancing networks, originally introduced by Aspnes et al. (Proceedings of the 23rd Annual ACM Symposium on Theory of Computing, pp. 348-358, May 1991), represent a new class of distributed, low-contention data structures ...
Strength of counting networks
(1996)
This paper shows that any counting network, made up of balancers whose fan-in and fan-out vary arbitrarily, is, indeed, strong enough to simultaneously support both Fetch&Increment and Fetch&Decrement operations, once each ...
A review on the stochastic firing behaviour of real neurons and how it can be modelled
(1995)
The types of spike trains recorded in real neurons from different parts of the brain, can either be completely random or bursty. Certainly, at very, high firing rates regular spike trains are observed. This paper examines ...
The temporal noisy-leaky integrator neuron with additional inhibitory inputs
(1993)
The Temporal Noisy-Leaky Integrator (TNU) neuron model with additional inhibitory inputs is presented together with its theoretical mathematical basis. The TNU is a biologically inspired hardware neuron which models ...
Modelling of the high firing variability of real cortical neurons with the temporal noisy-leaky integrator neuron model
(IEEE, 1994)
Using the Temporal Noisy-Leaky Integrator (TNLI) neuron model with reset, we observed that high firing variability can be achieved for certain input parameter values which results from the temporal summation of noise in ...
Multi feature texture analysis for the classification of carotid plaques
(IEEE, 1999)
The objective of this work was to develop a computer aided system which will facilitate the automated characterization of carotid plaques recorded from high resolution ultrasound images for the identification of individuals ...
Detailed characterization of a Quad Pentium Pro server running TPC-D
(1999)
While database workloads consume a major fraction of the cycles in today's machines, there are only a few public-domain performance studies that characterize in detail how these workloads exercise the machines. This fact ...