Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Magnification Laws of Winner-Relaxing and Winner-Enhancing Kohonen
  Feature Maps   Self-Organizing Maps are models for unsupervised representation formation of
cortical receptor fields by stimuli-driven self-organization in laterally
coupled winner-take-all feedforward structures. This paper discusses
modifications of the original Kohonen model that were motivated by a potential
function, in their ability to set up a neural mapping of maximal mutual
information. Enhancing the winner update, instead of relaxing it, results in an
algorithm that generates an infomax map corresponding to magnification exponent
of one. Despite there may be more than one algorithm showing the same
magnification exponent, the magnification law is an experimentally accessible
quantity and therefore suitable for quantitative description of neural
optimization principles.

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The categories of this paper are: physics
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
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The categories of this paper are: econ
27
The categories of this paper are: comp-gas
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The categories of this paper are: adap-org
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The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
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The categories of this paper are: eess