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Categorization learning induced changes in action representations in the macaque STS

Authors :
Ding Cui
Lotte Sypré
Mathias Vissers
Saloni Sharma
Rufin Vogels
Koen Nelissen
Source :
NeuroImage, Vol 265, Iss , Pp 119780- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Neuroimaging and single cell recordings have demonstrated the presence of STS body category-selective regions (body patches) containing neurons responding to presentation of static bodies and body parts. To date, it remains unclear if these body patches and additional STS regions respond during observation of different categories of dynamic actions and to what extent categorization learning influences representations of observed actions in the STS. In the present study, we trained monkeys to discriminate videos depicting three different actions categories (grasping, touching and reaching) with a forced-choice action categorization task. Before and after categorization training, we performed fMRI recordings while monkeys passively observed the same action videos. At the behavioral level, after categorization training, monkeys generalized to untrained action exemplars, in particular for grasping actions. Before training, uni- and/or multivariate fMRI analyses suggest a broad representation of dynamic action categories in particular in posterior and middle STS. Univariate analysis further suggested action category specific training effects in middle and anterior body patches, face patch ML and posterior STS region MT and FST. Overall, our fMRI experiments suggest a widespread representation of observed dynamic bodily actions in the STS that can be modulated by visual learning, supporting its proposed role in action recognition.

Details

Language :
English
ISSN :
10959572
Volume :
265
Issue :
119780-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.0785f29d42045f1934bdf02326d0a4b
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2022.119780