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Neural representation of action symbols in primate frontal cortex

Lookup NU author(s): Dr Mark EldridgeORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© The Author(s) 2026.A hallmark of intelligence is proficiency in solving new problems, including those that substantially differ from previously seen problems. Problem solving in turn depends on the goal-directed generation of novel ideas and behaviours1, which has been proposed to involve internal representations of discrete units (or symbols) that can be recombined into numerous possible composite representations1, 2, 3, 4, 5, 6–7. Although this view has been influential in cognitive-level explanations of behaviour, definitive evidence for a neuronal substrate of symbols has remained elusive. Here we identify a neural population that encodes action symbols—recombinable representations of discrete units of motor behaviour—in a specific area of the frontal cortex. In macaque monkeys performing a drawing-like task, we found behavioural evidence that action elements (strokes) exhibit three crucial features that indicate an underlying symbolic representation: (1) invariance over low-level motor parameters; (2) categorical structure, which reflects discrete action types; and (3) recombination into novel sequences. Based on simultaneous neural recordings across eight regions of the motor, premotor and prefrontal cortex, we identified population activity specifically in the ventral premotor cortex that encodes planned actions in a manner that also reflects invariance, categorical structure and recombination. These findings reveal a neural representation of action symbols localized to the ventral premotor cortex and a putative neural substrate for symbolic operations.


Publication metadata

Author(s): Tian LY, Garzon Gupta K, Hanuska DJ, Rouse AG, Eldridge MAG, Schieber MH, Wang X-J, Tenenbaum JB, Freiwald WA

Publication type: Article

Publication status: Published

Journal: Nature

Year: 2026

Pages: Epub ahead of print

Online publication date: 20/05/2026

Acceptance date: 18/02/2026

Date deposited: 01/06/2026

ISSN (print): 0028-0836

ISSN (electronic): 1476-4687

Publisher: Nature Research

URL: https://doi.org/10.1038/s41586-026-10297-x

DOI: 10.1038/s41586-026-10297-x

Data Access Statement: The data used in this study are available at Figshare (https://figshare. com/s/05da05cd28329d618b94) Source data are provided with this paper.The code used in this study is available at Figshare (https://figshare. com/s/05da05cd28329d618b94)


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