Cortical idiosyncrasies predict the perception of object size

Moutsiana, Christina, de Haas, Benjamin, Papageorgiou, Andriani, van Dijk, Jelle A., Balraj, Annika, Greenwood, John A. and Schwarzkopf, D. Samuel (2016) Cortical idiosyncrasies predict the perception of object size. Nature Communications, 7, p. 12110. ISSN (online) 2041-1723

Full text available as:
Moutsiana-C-35402-VoR.pdf - Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview


Perception is subjective. Even basic judgments, like those of visual object size, vary substantially between observers and also across the visual field within the same observer. The way in which the visual system determines the size of objects remains unclear, however. We hypothesize that object size is inferred from neuronal population activity in V1 and predict that idiosyncrasies in cortical functional architecture should therefore explain individual differences in size judgments. Here we show results from novel behavioural methods and functional magnetic resonance imaging (fMRI) demonstrating that biases in size perception are correlated with the spatial tuning of neuronal populations in healthy volunteers. To explain this relationship, we formulate a population read-out model that directly links the spatial distribution of V1 representations to our perceptual experience of visual size. Taken together, our results suggest that the individual perception of simple stimuli is warped by idiosyncrasies in visual cortical organization.

Item Type: Article
Additional Information: This work was supported by the European Research Council Starting Grant [grant number: 310829], the Deutsche Forschunsgmeinschaft [grant number Ha 7574/1-1), University College London, the Wellcome Trust and the Medical Research Council [grant number: MR/K024817/1].
Research Area: Psychology
Faculty, School or Research Centre: Faculty of Arts and Social Sciences (until 2017) > School of Psychology, Criminology and Sociology (from November 2012)
Related URLs:
Depositing User: Automatic Import Agent
Date Deposited: 07 Sep 2016 10:58
Last Modified: 19 Jun 2017 09:56

Actions (Repository Editors)

Item Control Page Item Control Page