Results 71 to 80 of about 389,527 (197)
eLifeDeep neural networks have made tremendous gains in emulating human-like intelligence, and have been used increasingly as ways of understanding how the brain may solve the complex computational problems on which this relies.
Shanka Subhra Mondal +3 more
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Effect of boundaries on grid cell patterns
Physical Review Research, 2020 Mammalian grid cells represent spatial locations in the brain via triangular firing patterns that tessellate the environment. They are regarded as the biological substrate for path integration and to provide an efficient code for space.
Mauro M. Monsalve-Mercado +1 more
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Developing web services in a computational grid environment [PDF]
, 2008 Grid and Web services are both hot topics today. In this paper, we will present some ongoing work and planned future work at the Cambridge eScience Centre.
core +1 more source
An investigation into the depiction of smart grid technology [PDF]
, 2012 Increasing climate change concerns and depletion of fossil fuels demand greater efficiency in electricity production and consumption. Smart Grid is a vision of an enhanced electricity grid that integrates the electric grid with communication and sensing ...
Li, Katie
core
, 2011 All customers connected to a public electricity network, whether generators or consumers, must comply with agreed technical requirements. Electric networks rely on generators to provide many of the control functions, and so the technical requirements for generators are unavoidably more complex than for demand customers. These technical requirements are
Mara Paz +3 more
openaire +2 more sources
EnergiesCompared with the traditional grid-following photovoltaic grid-connected converter (GFL-PGC), the grid-forming photovoltaic grid-connected converter (GFM-PGC) can provide voltage and frequency support for power systems, which can effectively enhance the ...
Wenwen He +6 more
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Energies, 2018 To investigate turbulent reacting flows, a low-Mach number large-eddy simulation (LES) code called ‘LESsCoal’ has been developed in our group. This code employs the Germano dynamic sub-grid scale (SGS) model and the steady flamelet/progress variable ...
Yingzu Liu +4 more
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Learning Grid Cells by Predictive Coding
Grid cells in the medial entorhinal cortex (MEC) of the mammalian brain exhibit a strikingly regular hexagonal firing field over space. These cells are learned after birth and are thought to support spatial navigation but also more abstract computations.
Tang, Mufeng +2 more
openaire +2 more sources
Alexandria Engineering Journal, 2011 The incompressible turbulent free surface flow around the complex hull form of the DTMB 5415 model at two different speeds has been numerically simulated using the RANSE code CFX.
Y.M. Ahmed
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Grid code compliance testing of renewables - new requirements and testing experiences [PDF]
, 2017 This paper describes common practices regarding the application process for grid connection of renewables in view of advanced grid code requirements. The development process of compliance testing guidelines is presented and a detailed example for the ...
Arnold, G., Heckmann, W., Schäfer, N.
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