Novel Verbal Instructions Recruit Abstract Neural Patterns of Time-Variable Information Dimensionality

Human performance is endowed by neural representations of information that is relevant for behavior, some of which are also activated in a preparatory fashion to optimize later execution. Most studies to date have focused on highly practiced actions, leaving largely unaddressed the novel reconfiguration of information to generate unique whole task sets. Using electroencephalography, this study investigated the dynamics of the content and geometry reflected on the neural patterns of control representations during reconfiguration of information. We designed a verbal instruction paradigm where each trial involved novel combinations of multicomponent task information. By manipulating three task-relevant factors in a sample of 40 participants (26 females, 14 males), we observed complex coding schemes throughout the trial, during both preparation and implementation stages. The temporal profiles were consistent with a hierarchical structure: whereas task information was active in a sustained manner, the coding of more concrete stimulus features was more transient. Data showed both high dimensionality and abstraction, particularly during instruction encoding and target processing. Our results suggest that whenever task content could be recovered from neural patterns of activity, there was evidence of abstract coding, with an underlying geometry that favored generalization. During target processing, where potential interference across stimulus and response factors increased, orthogonal configurations also appeared. Overall, our findings uncover the dynamic manner with which control representations operate during novel recombination unique scenarios, with changes in dimensionality and abstraction adjusting along processing stages.

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Publication Details

Journal
Journal of Neuroscience
Published
2025-03-06
DOI
https://doi.org/10.1523/jneurosci.1964-24.2025
Citations
4
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
9.92

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article

Novel Verbal Instructions Recruit Abstract Neural Patterns of Time-Variable Information Dimensionality

P. Llorens Pena, Ana F. Palenciano, Marı́a Ruz, Carlos González-García
4 citations
Journal of Neuroscience
Neural Networks and Applications
9.92
article

Novel Verbal Instructions Recruit Abstract Neural Patterns of Time-Variable Information Dimensionality

P. Llorens Pena, Ana F. Palenciano, Marı́a Ruz, Carlos González-García
article en
4 citations

Abstract

Human performance is endowed by neural representations of information that is relevant for behavior, some of which are also activated in a preparatory fashion to optimize later execution. Most studies to date have focused on highly practiced actions, leaving largely unaddressed the novel reconfiguration of information to generate unique whole task sets. Using electroencephalography, this study investigated the dynamics of the content and geometry reflected on the neural patterns of control representations during reconfiguration of information. We designed a verbal instruction paradigm where each trial involved novel combinations of multicomponent task information. By manipulating three task-relevant factors in a sample of 40 participants (26 females, 14 males), we observed complex coding schemes throughout the trial, during both preparation and implementation stages. The temporal profiles were consistent with a hierarchical structure: whereas task information was active in a sustained manner, the coding of more concrete stimulus features was more transient. Data showed both high dimensionality and abstraction, particularly during instruction encoding and target processing. Our results suggest that whenever task content could be recovered from neural patterns of activity, there was evidence of abstract coding, with an underlying geometry that favored generalization. During target processing, where potential interference across stimulus and response factors increased, orthogonal configurations also appeared. Overall, our findings uncover the dynamic manner with which control representations operate during novel recombination unique scenarios, with changes in dimensionality and abstraction adjusting along processing stages.

Journal of NeuroscienceVol. 45(17)
Universidad de Granada (ES)
Ministerio de Ciencia e Innovación
Openalex Percentile: Top 3%
Neural Networks and Applications
9.92
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