@Article{Dehaene1993a,
  author      = {Dehaene, S. and Changeux, J. P.},
  journal     = {J Cogn Neurosci},
  title       = {Development of elementary numerical abilities: a neuronal model.},
  year        = {1993},
  number      = {4},
  pages       = {390--407},
  volume      = {5},
  abstract    = {Abstract Despite their lack of language, human infants and several
	animal species possess some elementary abilities for numerical processing.
	These include the ability to recognize that a given numerosity is
	being presented visually or auditorily, and, at a later stage of
	development, the ability to compare two nume-rosities and to decide
	which is larger. We propose a model for the development of these
	abilities in a formal neuronal network. Initially, the model is equipped
	only with unordered numerosity detectors. It can therefore detect
	the numerosity of an input set and can be conditioned to react accordingly.
	In a later stage, the addition of a short-term memory network is
	shown to be sufficient for number comparison abilities to develop.
	Our computer simulations account for several phenomena in the numerical
	domain, including the distance effect and Fechner's law for numbers.
	They also demonstrate that infants' numerosity detection abilities
	may be explained without assuming that infants can count. The neurobiological
	bases of the critical components of the model are discussed.},
  doi         = {10.1162/jocn.1993.5.4.390},
  institution = {INSERM and CNRS, Paris.},
  language    = {eng},
  medline-pst = {ppublish},
  pmid        = {23964915},
  timestamp   = {2014.07.01},
}

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