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  5. Subspace partitioning in human prefrontal cortex resolves cognitive interference

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Preprint
en
2022

Subspace partitioning in human prefrontal cortex resolves cognitive interference

0 Datasets

0 Files

en
2022
DOI: 10.1101/2022.11.16.516719

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Robert Thomas Knight
Robert Thomas Knight

University of California, Berkeley

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Jan Weber
Gabriela Yukari Iwama
Anne‐Kristin Solbakk
+6 more

Abstract

Abstract Human prefrontal cortex (PFC) constitutes the structural basis underlying flexible cognitive control, where mixed-selective neural populations encode multiple task-features to guide subsequent behavior. The mechanisms by which the brain simultaneously encodes multiple task-relevant variables while minimizing interference from task-irrelevant features remain unknown. Leveraging intracranial recordings from the human PFC, we first demonstrate that competition between co-existing representations of past and present task variables incurs a behavioral switch cost. Our results reveal that this interference between past and present states in the PFC is resolved through coding partitioning into distinct low-dimensional neural states; thereby strongly attenuating behavioral switch costs. In sum, these findings uncover a fundamental coding mechanism that constitutes a central building block of flexible cognitive control.

How to cite this publication

Jan Weber, Gabriela Yukari Iwama, Anne‐Kristin Solbakk, Alejandro O. Blenkmann, Pål G. Larsson, Jugoslav Ivanović, Robert T. Knight, Tor Endestad, Robert Thomas Knight (2022). Subspace partitioning in human prefrontal cortex resolves cognitive interference. , DOI: https://doi.org/10.1101/2022.11.16.516719.

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Publication Details

Type

Preprint

Year

2022

Authors

9

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0

Total Files

0

Language

en

DOI

https://doi.org/10.1101/2022.11.16.516719

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