Attentional selection drives information convergence within macaque lateral prefrontal cortex

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ID: 328753
2026
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Abstract
Abstract Attention is a coherent state, in which multiple brain regions converge to represent selected features of a focal object or event. Lateral prefrontal cortex (LPFC), with its flexible coding of multiple task features and their conjunctions, is widely believed to play a key role in this process. While much research has investigated biased competition between features within a brain region, and cofluctuations of activity between regions, less is known about the representational dynamics through which a coherent neural state emerges. Here, we examine directed mutual information concerning multiple feature-specific population codes, between dorsal and ventral LPFC, across three phases of an attentional selection task. We find bidirectional convergence of information regarding multiple task features, but specifically following the period of selection from the visual display. The results show that neural processes driving inter-region coherence are especially salient during a period of cued object selection, despite comparable local information representation during other task phases.
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openalex_W7213426216 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Daniel J. Mitchell, Mikiko Kadohisa, Makoto Kusunoki, Cheshta Bhatia, Mark J Buckley, John Duncan
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Journal PNAS nexus
Year 2026
DOI
10.1093/pnasnexus/pgag311
URL
https://academic.oup.com/pnasnexus/advance-article-pdf/doi/10.1093/pnasnexus/pgag311/71129847/pgag311.pdf
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