Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences

A. Lőrincz, Botond Szatmáry, Ata Kabán

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

It has been reported that independent component analysis (ICA) of natural image sequences yields spatio-temporal filters of non-separable spatio-temporal properties. On the contrary, sign changing filters with separable spatio-temporal properties have not been found via ICA. We show that extending the ICA to temporally convolved inputs develops such receptive fields (RFs). We argue that temporal convolution may arise from the response function of lagged and non-lagged cells of the LGN. The properties of the emerging RFs as a function of convolution time and the dimension of compression are studied.

Original languageEnglish
Pages (from-to)1437-1442
Number of pages6
JournalNeurocomputing
Volume38-40
DOIs
Publication statusPublished - Jun 2001

Fingerprint

Independent component analysis
Visual Cortex
Convolution

Keywords

  • Independent component analysis
  • Sign changing filters
  • Spatio-temporal filters
  • Temporal convolution
  • Temporal sequences

ASJC Scopus subject areas

  • Artificial Intelligence
  • Cellular and Molecular Neuroscience

Cite this

Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences. / Lőrincz, A.; Szatmáry, Botond; Kabán, Ata.

In: Neurocomputing, Vol. 38-40, 06.2001, p. 1437-1442.

Research output: Contribution to journalArticle

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