---
abstract: "We apply Slow Feature Analysis (SFA) to image sequences generated from natural images using a range of spatial transformations. An analysis of the resulting receptive fields shows that they have a rich spectrum of invariances and share many properties with complex and hypercomplex cells of the primary visual cortex. Furthermore, the dependence of the solutions on the statistics of the transformations is investigated.\n"
altloc: []
chapter: ~
commentary: ~
commref: ~
confdates: August 2002
conference: International Conference on Artificial Neural Networks 2002
confloc: 'Madrid, Spain'
contact_email: ~
creators_id: []
creators_name:
  - family: Berkes
    given: Pietro
    honourific: ''
    lineage: ''
  - family: Wiskott
    given: Laurenz
    honourific: ''
    lineage: ''
date: 2002
date_type: published
datestamp: 2003-01-09
department: ~
dir: disk0/00/00/27/06
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editors_id: []
editors_name:
  - family: Dorronsoro
    given: José R.
    honourific: ''
    lineage: ''
eprint_status: archive
eprintid: 2706
fileinfo: /style/images/fileicons/application_postscript.png;/2706/1/I0220.ps
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'Complex cells, slow feature analysis, temporal slowness, model , spatio-temporal, receptive fields'
lastmod: 2011-03-11 08:55:08
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 81-86
pubdom: FALSE
publication: ~
publisher: Springer Verlag
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 10
series: ~
source: ~
status_changed: 2007-09-12 16:46:23
subjects:
  - neuro-mod
  - comp-neuro-sci
  - comp-sci-mach-vis
  - bio-theory
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties
type: confpaper
userid: 3740
volume: ~
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