Notes on Bell-Sejnowski PDF-Matching Neuron

Abstract

This article investigates the behavior of a single-input, single-unit neuron model of the Bell-Sejnowski class, which learn through the maximum-entropy principle, in order to understand its probability density function matching ability.

Cite

Text

Fiori. "Notes on Bell-Sejnowski PDF-Matching Neuron." Neural Computation, 2002. doi:10.1162/089976602760805304

Markdown

[Fiori. "Notes on Bell-Sejnowski PDF-Matching Neuron." Neural Computation, 2002.](https://mlanthology.org/neco/2002/fiori2002neco-notes/) doi:10.1162/089976602760805304

BibTeX

@article{fiori2002neco-notes,
  title     = {{Notes on Bell-Sejnowski PDF-Matching Neuron}},
  author    = {Fiori, Simone G. O.},
  journal   = {Neural Computation},
  year      = {2002},
  pages     = {2847-2856},
  doi       = {10.1162/089976602760805304},
  volume    = {14},
  url       = {https://mlanthology.org/neco/2002/fiori2002neco-notes/}
}