It is shown that for a class of vector quantization processes, related to neural modeling, that the asymptotic density Q(x ) of the quantization levels in one dimension in terms of the input signal distribution P(x) is a power law Q(x)=C-P(x)a , where the exponent a depends on the number n of neighbors on each side of a unit and is given by a=2/3-1/(3n 2+3[n+1]2). The asymptotic level density is calculated, and Monte Carlo simulations are presented
CITATION STYLE
Grebos, S. P., Almeida, T. de, Barbosa, K. H., Buquera, M. A., & Moreira, A. T. R. (2005). Miopatia mitocondrial: relato de dois casos. Arquivos Brasileiros de Oftalmologia, 68(5), 675–678. https://doi.org/10.1590/s0004-27492005000500019
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