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Winner-take-all (computing)

Winner-take-all is a computational principle applied in computational models of neural networks by which neurons in a layer compete with each other… 
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Related topics

Related topics

10 relations
Artificial neural networkCMOSCompetitive learningLeabra

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Learning Context-Specific Word/Character Embeddings
Unsupervised word representations have demonstrated improvements in predictive generalization on various NLP tasks. Most of… 
2011
2011
Current-Mode Dual-Phase Precision Full-Wave Rectifier Using Current-Mode Two-Cell Winner-Takes-All (WTA) Circuit
In addition to the recently proposed full-wave rectifier by Prommee et al. [25] using voltage-mode (VM) two-cell winner-takes-all… 
2008
2008
An Attentional System Combining Top-Down and Bottom-Up Influences
Attention plays an important role in human processing of sensory information as a mean of focusing resources toward the most… 
2007
2007
Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 um Technology
In this paper, we present a block of adaptive weight change (AWC) mechanism for analog current-mode Kohonen's Neural Network (KNN… 
2005
2005
Creating and teaching the arts-infused curriculum: a case study of art, music, and drama in an exemplary elementary classroom
2004
2004
DYNAMIC OBJECTS MODELING AND 3 D VISUALIZATION
This paper describes an automated approach for dynamic object modeling and visualization of a 3D environment. Moving objects are… 
1999
1999
High speed and high resolution WTA circuit
The winner-takes-all (WTA) circuits are very common elements in the VLSI implementation of neural networks, fuzzy systems and… 
1997
1997
Towards an Information Density Measure for Neural Feature Maps
Many neural models have been suggested for the development of feature maps in cortical areas. Undoubtedly the most popular model… 
1993
1993
Behavior of an Adaptive Self-organizing Autonomous Agent Working with Cues and Competing Concepts
A brain model-based alternative to reinforcement learning is presented that integrates artificial neural networks and knowledge… 
Review
1933
Review
1933
Winner Take Nothing
Written when Hemingway was at the height of his creative powers, the stories in Winner Take Nothing glow with the mark of his… 
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