Results 241 to 250 of about 261,223 (281)
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Variants of self-organizing maps
IEEE Transactions on Neural Networks, 1990Self-organizing maps have a bearing on traditional vector quantization. A characteristic that makes them more closely resemble certain biological brain maps, however, is the spatial order of their responses, which is formed in the learning process. A discussion is presented of the basic algorithms and two innovations: dynamic weighting of the input ...
J A, Kangas +2 more
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Probabilistic PCA Self-Organizing Maps
IEEE Transactions on Neural Networks, 2009In this paper, we present a probabilistic neural model, which extends Kohonen's self-organizing map (SOM) by performing a probabilistic principal component analysis (PPCA) at each neuron. Several SOMs have been proposed in the literature to capture the local principal subspaces, but our approach offers a probabilistic model while it has a low ...
Ezequiel, López-Rubio +2 more
openaire +2 more sources
2002
Self-organizing map (SOM) has been applied in many different fields of science and engineering. In this chapter it is shown how the SOM can be used to decode neural spike trains of an awake animal and associate external auditory stimuli with spike patterns of the brain.
Jennie Si +4 more
openaire +1 more source
Self-organizing map (SOM) has been applied in many different fields of science and engineering. In this chapter it is shown how the SOM can be used to decode neural spike trains of an awake animal and associate external auditory stimuli with spike patterns of the brain.
Jennie Si +4 more
openaire +1 more source
Self-organizing maps with a time-varying structure
ACM Computing Surveys, 2013Aluizio F R Araujo
exaly
Self-organizing maps, vector quantization, and mixture modeling
IEEE Transactions on Neural Networks, 2001Tom M Heskes
exaly