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Understanding the link between the brain's anatomy and its function through computer
simulations of neural tissue models is a widely used approach in computational neuroscience.
This technique enables rapid prototyping and testing of hypotheses, allowing r ...
This paper presents a strategy for providing reliable state estimates that allow a group of robots to realize a formation even when communication fails and the tracking data alone is insufficient for maintaining a stable formation. Furthermore, the trackin ...
We propose a multi-robot tracking method to provide state estimates that allow a group of robots to maintain a formation even when the communication fails. We extend a Gaussian Mixture Probability Hypothesis Density filter to incorporate, firstly, absolute ...
The increased number of cores integrated on a chip has brought about a number of challenges. Concerns about the scalability of cache coherence protocols have urged both researchers and practitioners to explore alternative programming models, where cache co ...
With increasing complexity and performance demands of emerging compute-intensive data-parallel workloads, many-core computing systems are becoming a popular trend in computer design. Fast and scalable simulation methods are needed to make meaningful predic ...
Future architectures will feature hundreds to thousands of simple processors and on-chip memories connected through a network-on-chip. Architectural simulators will remain primary tools for design space exploration, performance (and power) evaluation of th ...
Multicore hardware demands software parallelism. Transaction processing workloads typically exhibit high concurrency, and, thus, provide ample opportunities for parallel execution. Unfortunately, because of the characteristics of the application, transacti ...
To understand how the central nervous system performs computations using recurrent neuronal circuitry, simulations have become an indispensable tool for theoretical neuroscience. To study neuronal circuits and their ability to self-organize, increasing att ...
The neocortex is one of the most evolved and complex region of the brain. For more than a century scientists have been curious about the neocortex, to identify the anatomical blueprint of its cellular organization and to understand its role in higher brain ...
The multicore revolution and the ever-increasing complexity of computing systems is dramatically changing system design, analysis and programming of computing platforms. Future architectures will feature hundreds to thousands of simple processors and on-ch ...
