Abstract

Spatial processing by receptive fields is a core property of the visual system. However, it is unknown how spatial processing in high-level regions contributes to recognition behavior. As face inversion is thought to disrupt typical holistic processing of information in faces, we mapped population receptive fields (pRFs) with upright and inverted faces in the human visual system. Here we show that in face-selective regions, but not primary visual cortex, pRFs and overall visual field coverage are smaller and shifted downward in response to face inversion. From these measurements, we successfully predict the relative behavioral detriment of face inversion at different positions in the visual field. This correspondence between neural measurements and behavior demonstrates how spatial processing in face-selective regions may enable holistic perception. These results not only show that spatial processing in high-level visual regions is dynamically used towards recognition, but also suggest a powerful approach for bridging neural computations by receptive fields to behavior.

It is unknown whether spatial processing in the ventral (‘what’) stream contributes to high-level visual recognition. Here the authors show that spatial processing in face-selective regions directly contributes to whole face recognition behavior.

Details

Title
Holistic face recognition is an emergent phenomenon of spatial processing in face-selective regions
Author
Poltoratski Sonia 1   VIAFID ORCID Logo  ; Kendrick, Kay 2   VIAFID ORCID Logo  ; Finzi, Dawn 1   VIAFID ORCID Logo  ; Grill-Spector Kalanit 3   VIAFID ORCID Logo 

 Stanford University, Department of Psychology, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956) 
 University of Minnesota, Center for Magnetic Resonance Research (CMRR), Department of Radiology, Minneapolis, USA (GRID:grid.17635.36) (ISNI:0000000419368657) 
 Stanford University, Department of Psychology, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956); Stanford University, Wu Tsai Neurosciences Institute, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2558847328
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.