A common representational code for event and object concepts in the brain
Jia‐Qing TongiD, Jeffrey R. BinderiD, Lisa L. ConantiD, Stephen MazurchukiD, Andrew James AndersoniD, Leonardo FernandinoiD
Abstract
Events and objects are two fundamental ways in which humans conceptualize their experience of the world. Despite the significance of this distinction for human cognition, it remains unclear whether the neural representations of object and event concepts are categorically distinct or, instead, can be explained in terms of a shared representational code. We investigated this question by analyzing fMRI data acquired from human participants (males and females) while they rated their familiarity with the meanings of individual words (all nouns) denoting object and event concepts. Multivoxel pattern analyses indicated that both categories of lexical concepts are represented in overlapping fashion throughout the association cortex, even in the areas that showed the strongest selectivity for one or the other type in univariate contrasts. Crucially, in these areas, a feature-based model trained on neural responses to individual event concepts successfully decoded object concepts from their corresponding activation patterns (and vice versa), showing that these two categories share a common representational code. This code was effectively modeled by a set of experiential feature ratings, which also accounted for the mean activation differences between these two categories. These results indicate that neuroanatomical dissociations between events and objects emerge from quantitative differences in the cortical distribution of more fundamental features of experience. Characterizing this representational code is an important step in the development of theory-driven brain-computer interface technologies capable of decoding conceptual content directly from brain activity. Significance StatementWe investigated how word meaning is encoded in the brain by examining the neural representations of individual lexical concepts from two distinct categories--objects and events. We found that both kinds of concepts were encoded in neural activity patterns in terms of a shared representational space characterized by different modalities of perceptual and emotional experience. This indicates that individual concepts from a wide variety of semantic categories can, at least in principle, be decoded from neural activity using a generative model of concept representation based on interpretable semantic features. Furthermore, both object and event concepts could be decoded from cortical regions previously hypothesized to encode category-specific representations, suggesting that the two categories are jointly represented in these areas.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 1
- FWCI
- 0.57
- Field percentile
- top 34%
- Organism
- Assay
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Stimulus-independent neural coding of event semantics: Evidence from cross-sentence fMRI decoding
Aliff Asyraff, Rafael Lemarchand, … Paul Hoffman·NeuroImagePeer-reviewed·Apr 19, 2021
- Abstract neural representations of category membership beyond information coding stimulus or response
Robert M. Mok, Bradley C. Love·Journal of Cognitive NeurosciencePeer-reviewed·Nov 23, 2020
- Category-specific representational patterns in left inferior frontal and temporal cortex reflect similarities and differences in the sensorimotor and distributional properties of concepts.
Francesca Carota, Nikolaus Kriegeskorte, … Friedemann Pulvermüller A·bioRxiv·Sep 3, 2021
- Decoding the Information Structure Underlying the Neural Representation of Concepts
Leonardo Fernandino, Jia‐Qing Tong, … Jeffrey R. Binder·Proceedings of the National Academy of SciencesPeer-reviewed·Feb 3, 2022
- Integrative and distinctive coding of perceptual and conceptual object features in the ventral visual stream
Chris B. Martin, Danielle M. Douglas, … Morgan D. Barense·eLifePeer-reviewed·Feb 2, 2018
- Representations of semantic relations in the human cerebral cortex
Catherine Chen, Xue Lily Gong, … Jack L. Gallant·bioRxiv·Feb 20, 2026