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Decision-related feedback in visual cortex lacks spatial selectivity

Author

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  • Katrina R. Quinn

    (University of Tübingen)

  • Lenka Seillier

    (University of Tübingen)

  • Daniel A. Butts

    (University of Maryland)

  • Hendrikje Nienborg

    (National Institutes of Health)

Abstract

Feedback in the brain is thought to convey contextual information that underlies our flexibility to perform different tasks. Empirical and computational work on the visual system suggests this is achieved by targeting task-relevant neuronal subpopulations. We combine two tasks, each resulting in selective modulation by feedback, to test whether the feedback reflected the combination of both selectivities. We used visual feature-discrimination specified at one of two possible locations and uncoupled the decision formation from motor plans to report it, while recording in macaque mid-level visual areas. Here we show that although the behavior is spatially selective, using only task-relevant information, modulation by decision-related feedback is spatially unselective. Population responses reveal similar stimulus-choice alignments irrespective of stimulus relevance. The results suggest a common mechanism across tasks, independent of the spatial selectivity these tasks demand. This may reflect biological constraints and facilitate generalization across tasks. Our findings also support a previously hypothesized link between feature-based attention and decision-related activity.

Suggested Citation

  • Katrina R. Quinn & Lenka Seillier & Daniel A. Butts & Hendrikje Nienborg, 2021. "Decision-related feedback in visual cortex lacks spatial selectivity," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24629-0
    DOI: 10.1038/s41467-021-24629-0
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    Cited by:

    1. Javier G. Orlandi & Mohammad Abdolrahmani & Ryo Aoki & Dmitry R. Lyamzin & Andrea Benucci, 2023. "Distributed context-dependent choice information in mouse posterior cortex," Nature Communications, Nature, vol. 14(1), pages 1-16, December.

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