@conference {14793,
	title = {EMPS: an environment for memory performance studies},
	booktitle = {Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International},
	year = {2005},
	month = {2005/04//},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {This paper describes an overview of environment for memory performance studies (EMPS). EMPS is a framework to allow different data gathering and simulation tools to be composed together to predict the performance of parallel programs on a variety of current and future high end computing (HEC) systems. The framework seeks to combine the automated nature of direct execution simulation with the predictive capabilities of performance modeling.},
	keywords = {Application software, cache storage, Computational modeling, Concurrent computing, data gathering, Delay, digital simulation, Economic forecasting, EMP radiation effects, high end computing system, High performance computing, memory architecture, memory performance, Moore{\textquoteright}s Law, PARALLEL PROCESSING, parallel program, Predictive models, simulation tool, Writing},
	isbn = {0-7695-2312-9},
	doi = {10.1109/IPDPS.2005.196},
	author = {Hollingsworth, Jeffrey K and Snavely, A. and Sbaraglia, S. and Ekanadham, K.}
}
@article {18814,
	title = {An extraction-based verification methodology for MEMS},
	journal = {Microelectromechanical Systems, Journal of},
	volume = {11},
	year = {2002},
	month = {2002/02//},
	pages = {2 - 11},
	abstract = {Micromachining techniques are being increasingly used to develop miniaturized sensor and actuator systems. These system designs tend to be captured as layout, requiring extraction of the equivalent microelectromechanical circuit as a necessary step for design verification. This paper presents an extraction methodology to (re-)construct a circuit schematic representation from the layout, enabling the designer to use microelectromechanical circuit simulators to verify the functional behavior of the layout. This methodology uses a canonical representation of the given layout on which feature-based and graph-based recognition algorithms are applied to generate the equivalent extracted schematic. Extraction can be performed to either the atomic level or the functional level representation of the reconstructed circuit. The choice of level in hierarchy is governed by the trade off between simulation time and simulation accuracy of the extracted circuit. The combination of the MEMS layout extraction and lumped-parameter circuit simulation provides MEMS designers with VLSI-like tools enabling faster design cycles, and improved design productivity},
	keywords = {atomic level, canonical representation, circuit schematic representation, circuit simulation, design cycles, design productivity, design verification, digital simulation, equivalent circuits, equivalent microelectromechanical circuit, extraction-based verification methodology, feature-based recognition algorithms, functional behavior, functional level, graph-based recognition algorithms, layout extraction, lumped parameter networks, lumped-parameter circuit simulation, MEMS, microelectromechanical circuit simulators, micromachining techniques, micromechanical devices, simulation accuracy, simulation time},
	isbn = {1057-7157},
	doi = {10.1109/84.982857},
	author = {Baidya,B. and Gupta,S.K. and Mukherjee,T.}
}
@conference {16654,
	title = {Lateral cortical inhibition without lateral inhibitory connections},
	booktitle = {Neural Networks, 1992. IJCNN., International Joint Conference on},
	volume = {3},
	year = {1992},
	month = {1992/06//},
	pages = {415 -420 vol.3 - 415 -420 vol.3},
	abstract = {The authors consider how a set of neurons forming a cortical column, none of which individually can competitively distribute its activity, can function collectively to produce competitive distribution of activation. To address this issue, they describe a model cortical column composed of three populations of excitatory neurons that collectively distribute their activity competitively. The idea of competitive distribution and the neural circuitry that could bring it about are described. Computer simulation results, implications, and testable predictions of the theory are presented},
	keywords = {brain models, competitive distribution of activation, digital simulation, excitatory neurons, lateral cortical inhibition, neural circuitry, neurophysiology, physiological models},
	doi = {10.1109/IJCNN.1992.227139},
	author = {Reggia, James A. and Sutton,G. and D{\textquoteright}Autrechy,C. L and Weinrich,M.}
}
