Emergence of a 'visual number sense' in hierarchical generative models

Ivilin Stoianov, Marco Zorzi

Research output: Contribution to journalArticle

139 Citations (Scopus)

Abstract

Numerosity estimation is phylogenetically ancient and foundational to human mathematical learning, but its computational bases remain controversial. Here we show that visual numerosity emerges as a statistical property of images in 'deep networks' that learn a hierarchical generative model of the sensory input. Emergent numerosity detectors had response profiles resembling those of monkey parietal neurons and supported numerosity estimation with the same behavioral signature shown by humans and animals.

Original languageEnglish
Pages (from-to)194-196
Number of pages3
JournalNature Neuroscience
Volume15
Issue number2
DOIs
Publication statusPublished - Feb 2012

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Haplorhini
Learning
Neurons

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  • Neuroscience(all)

Cite this

Emergence of a 'visual number sense' in hierarchical generative models. / Stoianov, Ivilin; Zorzi, Marco.

In: Nature Neuroscience, Vol. 15, No. 2, 02.2012, p. 194-196.

Research output: Contribution to journalArticle

Stoianov, Ivilin ; Zorzi, Marco. / Emergence of a 'visual number sense' in hierarchical generative models. In: Nature Neuroscience. 2012 ; Vol. 15, No. 2. pp. 194-196.
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