Visual processing of the bee innately encodes higher-order image statistics when the information is consistent with natural ecology

3Citations
Citations of this article
37Readers
Mendeley users who have this article in their library.

Abstract

Determining the statistical relationships of images that facilitate robust visual behaviour is nontrivial. Here we ask if some spatial relationships are more easily learned by the visual brain than others. Visually naïve bumblebees were trained to recognise coloured artificial flowers in scenes of equal spatial complexity but differing patterns of stimulus intensity. When flowers of similar intensity were grouped into extended regions across the array (coincident with natural patterns of light), the accuracy of the bees' foraging behaviour was dependent on spatial context, even though this information was redundant to the task. When the same intensity information was organised into a pattern that was less consistent with natural patterns of illumination but of equal order, their behaviour was independent of spatial context and they required double the training time to solve the same conditional task. These observations suggest the brain is biased to more efficiently encode/learn ecologically 'meaningful' image correlations. © 2009 Elsevier Ltd. All rights reserved.

Cite

CITATION STYLE

APA

Clarke, R., & Lotto, R. B. (2009). Visual processing of the bee innately encodes higher-order image statistics when the information is consistent with natural ecology. Vision Research, 49(11), 1455–1464. https://doi.org/10.1016/j.visres.2009.02.021

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free