Measuring the spatial extent of texture pooling using reverse correlation


The local image representation produced by early stages of visual analysis is uninformative regarding spatially extensive textures and surfaces. We know little about the cortical algorithm used to combine local information over space, and still less about the area over which it can operate. But such operations are vital to support perception of real-world objects and scenes. Here, we deploy a novel reverse-correlation technique to measure the extent of spatial pooling for target regions of different areas placed either in the central visual field, or more peripherally. Stimuli were large arrays of micropatterns, with their contrasts perturbed individually on an interval-by-interval basis. By comparing trial-by-trial observer responses with the predictions of computational models, we show that substantial regions (up to 13 carrier cycles) of a stimulus can be monitored in parallel by summing contrast over area. This summing strategy is very different from the more widely assumed signal selection strategy (a MAX operation), and suggests that neural mechanisms representing extensive visual textures can be recruited by attention. We also demonstrate that template resolution is much less precise in the parafovea than in the fovea, consistent with recent accounts of crowding.

Publication DOI:
Divisions: College of Health & Life Sciences > School of Optometry > Optometry
College of Health & Life Sciences > Clinical and Systems Neuroscience
College of Health & Life Sciences
College of Health & Life Sciences > School of Optometry > Vision, Hearing and Language
College of Health & Life Sciences > School of Optometry > Centre for Vision and Hearing Research
Additional Information: © Copyright 2014 The Authors. Published by Elsevier Ltd. This is an Open Access article under the CC BY license ( Funding: EPSRC Grant EP/H000038/1.
Uncontrolled Keywords: Area summation,Max operator,Reverse correlation,Ophthalmology,Sensory Systems
Publication ISSN: 1878-5646
Last Modified: 04 Jan 2024 17:02
Date Deposited: 21 Aug 2014 11:30
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2014-04
Published Online Date: 2014-02-24
Authors: Baker, Daniel H.
Meese, Tim (ORCID Profile 0000-0003-3744-4679)



Version: Published Version

License: Creative Commons Attribution

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