Literature DB >> 28674173

Occipitotemporal Category Representations Are Sensitive to Abstract Category Boundaries Defined by Generalization Demands.

Kurt Braunlich1,2, Zhiya Liu3, Carol A Seger3,2.   

Abstract

Categorization involves organizing perceptual information so as to maximize differences along dimensions that predict class membership while minimizing differences along dimensions that do not. In the current experiment, we investigated how neural representations reflecting learned category structure vary according to generalization demands. We asked male and female human participants to switch between two rules when determining whether stimuli should be considered members of a single known category. When categorizing according to the "strict" rule, participants were required to limit generalization to make fine-grained distinctions between stimuli and the category prototype. When categorizing according to the "lax" rule, participants were required to generalize category knowledge to highly atypical category members. As expected, frontoparietal regions were primarily sensitive to decisional demands (i.e., the distance of each stimulus from the active category boundary), whereas occipitotemporal representations were primarily sensitive to stimulus typicality (i.e., the similarity between each exemplar and the category prototype). Interestingly, occipitotemporal representations of stimulus typicality differed between rules. While decoding models were able to predict unseen data when trained and tested on the same rule, they were unable to do so when trained and tested on different rules. We additionally found that the discriminability of the multivariate signal negatively covaried with distance from the active category boundary. Thus, whereas many accounts of occipitotemporal cortex emphasize its important role in transforming visual information to accentuate learned category structure, our results highlight the flexible nature of these representations with regards to transient decisional demands.SIGNIFICANCE STATEMENT Occipitotemporal representations are known to reflect category structure and are often assumed to be largely invariant with regards to transient decisional demands. We found that representations of equivalent stimuli differed between strict and lax generalization rules, and that the discriminability of these representations increased as distance from abstract category boundaries decreased. Our results therefore indicate that occipitotemporal representations are flexibly modulated by abstract decisional factors.
Copyright © 2017 the authors 0270-6474/17/377631-12$15.00/0.

Entities:  

Keywords:  category learning; classification learning; fMRI; intraparietal sulcus

Mesh:

Year:  2017        PMID: 28674173      PMCID: PMC6596645          DOI: 10.1523/JNEUROSCI.3825-16.2017

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  5 in total

Review 1.  Brain Mechanisms of Concept Learning.

Authors:  Dagmar Zeithamova; Michael L Mack; Kurt Braunlich; Tyler Davis; Carol A Seger; Marlieke T R van Kesteren; Andreas Wutz
Journal:  J Neurosci       Date:  2019-10-16       Impact factor: 6.167

2.  Functional imaging analyses reveal prototype and exemplar representations in a perceptual single-category task.

Authors:  Helen Blank; Janine Bayer
Journal:  Commun Biol       Date:  2022-09-01

3.  Neural Basis of Dispositional Awe.

Authors:  Fang Guan; Yanhui Xiang; Outong Chen; Weixin Wang; Jun Chen
Journal:  Front Behav Neurosci       Date:  2018-09-11       Impact factor: 3.558

4.  Occipitotemporal representations reflect individual differences in conceptual knowledge.

Authors:  Kurt Braunlich; Bradley C Love
Journal:  J Exp Psychol Gen       Date:  2018-11-01

5.  Neural Hierarchy of Color Categorization: From Prototype Encoding to Boundary Encoding.

Authors:  Mengdan Sun; Luming Hu; Xiaoyang Xin; Xuemin Zhang
Journal:  Front Neurosci       Date:  2021-07-19       Impact factor: 4.677

  5 in total

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