Category selectivity as a window into behavioral relevance

Ritchie et al. (this issue) argue that a deeper understanding of occipitotemporal cortex (OTC) requires shifting emphasis from category selectivity to behavioral relevance. They suggest that focusing on categories such as faces, bodies, or scenes is too narrow and overlooks how OTC supports flexible, goal-directed behavior. We agree that linking neural representations to behavior is essential but caution against treating category selectivity and behavioral relevance as opposing views. Category selectivity provides valuable insight into how cortical representations are organized to support behavior, and recent advances in computational modeling, particularly with deep neural networks, offer a powerful framework for probing this relationship.

Authors

Institutions

Publication Details

Journal
Cognitive Neuroscience
Published
2025-11-23
DOI
https://doi.org/10.1080/17588928.2025.2590656
Citations
1
Primary Topic
Face Recognition and Perception
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Category selectivity as a window into behavioral relevance

Katharina Dobs, Leonard E. van Dyck
1 citations
Cognitive Neuroscience
Face Recognition and Perception
1.43
article

Category selectivity as a window into behavioral relevance

Katharina Dobs, Leonard E. van Dyck
article en
1 citations

Abstract

Ritchie et al. (this issue) argue that a deeper understanding of occipitotemporal cortex (OTC) requires shifting emphasis from category selectivity to behavioral relevance. They suggest that focusing on categories such as faces, bodies, or scenes is too narrow and overlooks how OTC supports flexible, goal-directed behavior. We agree that linking neural representations to behavior is essential but caution against treating category selectivity and behavioral relevance as opposing views. Category selectivity provides valuable insight into how cortical representations are organized to support behavior, and recent advances in computational modeling, particularly with deep neural networks, offer a powerful framework for probing this relationship.

Cognitive Neuroscience
Justus-Liebig-Universität Gießen (DE), Universitätsklinikum Gießen und Marburg (DE), Universities of Giessen and Marburg Lung Center (DE)
Openalex Percentile: Top 14%
Face Recognition and Perception
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.