6,142 research outputs found

    Appointments for Care Pathway Patients

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    Simulation of networks of spiking neurons: A review of tools and strategies

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    We review different aspects of the simulation of spiking neural networks. We start by reviewing the different types of simulation strategies and algorithms that are currently implemented. We next review the precision of those simulation strategies, in particular in cases where plasticity depends on the exact timing of the spikes. We overview different simulators and simulation environments presently available (restricted to those freely available, open source and documented). For each simulation tool, its advantages and pitfalls are reviewed, with an aim to allow the reader to identify which simulator is appropriate for a given task. Finally, we provide a series of benchmark simulations of different types of networks of spiking neurons, including Hodgkin-Huxley type, integrate-and-fire models, interacting with current-based or conductance-based synapses, using clock-driven or event-driven integration strategies. The same set of models are implemented on the different simulators, and the codes are made available. The ultimate goal of this review is to provide a resource to facilitate identifying the appropriate integration strategy and simulation tool to use for a given modeling problem related to spiking neural networks.Comment: 49 pages, 24 figures, 1 table; review article, Journal of Computational Neuroscience, in press (2007

    Delay analysis of a HOL priority queue

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    Analyzing Multiple Product Development Projects Based On Information and Resource Constraints

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    Product development (PD) and engineering design processes are often characterized by the information flowing among activities. In PD, this flow forms a complex activity weba process that can be viewed as a complex system. Most literature on the subject of information flow in PD focuses on a single project, where precedence information constraints (based solely on necessary information and possible assumptions) determine the execution sequence for the activities and the resultant project lead-time. In this paper, we consider multiple PD projects that share a common set of design resources. Especially in this setting, precedence information availability is insufficient to assure that activities will execute on time. We extend the information flow modeling literature by including resource availability. We model several PD projects as a portfolio, where activity execution is based on both information and resource availability. We demonstrate the effects of accounting for resource constraints on both individual projects and portfolio lead-time distributions
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