Works matching DE "WINNER-take-all (Computer simulation)"
Results: 15
Analysis of an Attractor Neural Network’s Response to Conflicting External Inputs.
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- Journal of Mathematical Neuroscience, 2018, v. 8, n. 1, p. 1, doi. 10.1186/s13408-018-0061-0
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- Article
POST PROCESSING VOTING TECHNIQUES FOR LOCAL STEREO MATCHING.
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- Studia Universitatis Babes-Bolyai, Informatica, 2014, v. 59, n. 1, p. 106
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- Article
A top dog tale with preference complementarities.
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- Journal of Economics, 2017, v. 120, n. 1, p. 47, doi. 10.1007/s00712-016-0490-8
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- Article
Current-Mode Winner-Take-All Circuit with Improved Dynamic Response.
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- Circuits, Systems & Signal Processing, 2015, v. 34, n. 2, p. 625, doi. 10.1007/s00034-014-9865-7
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- Article
An adjustable 0.3 V current winner‐take‐all circuit for analogue neural networks.
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- Electronics Letters (Wiley-Blackwell), 2021, v. 57, n. 18, p. 685, doi. 10.1049/ell2.12156
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- Article
Universities as celebrities? How the media select information from a large research assessment exercise.
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- Science & Public Policy (SPP), 2018, v. 45, n. 4, p. 503, doi. 10.1093/scipol/scx078
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- Article
What Happens to Artistic Aspirants Who Do Not "Succeed''? A Research Note From the Strategic National Arts Alumni Project.
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- Work & Occupations, 2013, v. 40, n. 4, p. 465, doi. 10.1177/0730888413502059
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- Article
A 4K-Input High-Speed Winner-Take-All (WTA) Circuit with Single-Winner Selection for Change-Driven Vision Sensors.
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- Sensors (14248220), 2019, v. 19, n. 2, p. 437, doi. 10.3390/s19020437
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- Article
Top-Down Neural Attention by Excitation Backprop.
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- International Journal of Computer Vision, 2018, v. 126, n. 10, p. 1084, doi. 10.1007/s11263-017-1059-x
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- Article
Covert shift of attention modulates the value encoding in the orbitofrontal cortex.
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- eLife, 2018, p. 1, doi. 10.7554/eLife.31507.001
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- Article
A winner-take-all Lotka-Volterra recurrent neural network with only one winner in each row and each column.
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- Neural Computing & Applications, 2014, v. 24, n. 7/8, p. 1749, doi. 10.1007/s00521-013-1412-0
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- Article
Analysis and design of winner-take-all behavior based on a novel memristive neural network.
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- Neural Computing & Applications, 2014, v. 24, n. 7/8, p. 1595, doi. 10.1007/s00521-013-1395-x
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- Article
Learning and Stabilization of Winner-Take-All Dynamics Through Interacting Excitatory and Inhibitory Plasticity.
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- Frontiers in Computational Neuroscience, 2014, v. 8, p. 1, doi. 10.3389/fncom.2014.00068
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- Article
Experimenting with Contests for Experimentation.
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- Southern Economic Journal, 2017, v. 84, n. 2, p. 391, doi. 10.1002/soej.12185
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- Article
The optimal prize structure of symmetric Tullock contests.
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- Public Choice, 2012, v. 153, n. 1/2, p. 69, doi. 10.1007/s11127-011-9774-2
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- Article