Skip to main content

Research Repository

Advanced Search

Adaptation decorrelates shape representations

Mattar, Marcelo G.; Olkkonen, Maria; Epstein, Russell A.; Aguirre, Geoffrey K.

Adaptation decorrelates shape representations Thumbnail


Authors

Marcelo G. Mattar

Maria Olkkonen

Russell A. Epstein

Geoffrey K. Aguirre



Abstract

Perception and neural responses are modulated by sensory history. Visual adaptation, an example of such an effect, has been hypothesized to improve stimulus discrimination by decorrelating responses across a set of neural units. While a central theoretical model, behavioral and neural evidence for this theory is limited and inconclusive. Here, we use a parametric 3D shape-space to test whether adaptation decorrelates shape representations in humans. In a behavioral experiment with 20 subjects, we find that adaptation to a shape class improves discrimination of subsequently presented stimuli with similar features. In a BOLD fMRI experiment with 10 subjects, we observe that adaptation to a shape class decorrelates the multivariate representations of subsequently presented stimuli with similar features in object-selective cortex. These results support the long-standing proposal that adaptation improves perceptual discrimination and decorrelates neural representations, offering insights into potential underlying mechanisms.

Citation

Mattar, M. G., Olkkonen, M., Epstein, R. A., & Aguirre, G. K. (2018). Adaptation decorrelates shape representations. Nature Communications, 9(1), Article 3812. https://doi.org/10.1038/s41467-018-06278-y

Journal Article Type Article
Acceptance Date Aug 22, 2018
Online Publication Date Sep 19, 2018
Publication Date Sep 19, 2018
Deposit Date Sep 20, 2018
Publicly Available Date Oct 5, 2018
Journal Nature Communications
Publisher Nature Research
Peer Reviewed Peer Reviewed
Volume 9
Issue 1
Article Number 3812
DOI https://doi.org/10.1038/s41467-018-06278-y

Files

Published Journal Article (1.4 Mb)
PDF

Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.





You might also like



Downloadable Citations