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The geometry of domain-general performance monitoring representations in the human medial frontal cortex

View ORCID ProfileZhongzheng Fu, Danielle Beam, Jeffrey M. Chung, View ORCID ProfileChrystal M. Reed, Adam N. Mamelak, View ORCID ProfileRalph Adolphs, View ORCID ProfileUeli Rutishauser
doi: https://doi.org/10.1101/2021.07.08.451594
Zhongzheng Fu
1Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
2Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA
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  • ORCID record for Zhongzheng Fu
Danielle Beam
1Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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Jeffrey M. Chung
3Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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Chrystal M. Reed
3Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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Adam N. Mamelak
1Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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Ralph Adolphs
2Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA
4Division of Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA
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Ueli Rutishauser
1Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
3Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
4Division of Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA
5Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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  • For correspondence: rutishauseru@csmc.edu
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Abstract

Flexibly adapting behavior to achieve a desired goal depends on the ability to monitor one’s own performance. A key open question is how performance monitoring can be both highly flexible to support multiple tasks and specialized to support specific tasks. We characterized performance monitoring representations by recording single neurons in the human medial frontal cortex (MFC). Subjects performed two tasks that involve three types of cognitive conflict. Neural population representations of conflict, error and control demand generalized across tasks and time while at the same time also encoding task specialization. This arose from a combination of single neurons whose responses were task-invariant and non-linearly mixed. Neurons encoding conflict ex-post served to iteratively update internal estimates of control demand as predicted by a Bayesian model. These findings reveal how the MFC representation of evaluative signals are both abstract and specific, suggesting a mechanism for computing and maintaining control demand estimates across trials and tasks.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted July 08, 2021.
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The geometry of domain-general performance monitoring representations in the human medial frontal cortex
Zhongzheng Fu, Danielle Beam, Jeffrey M. Chung, Chrystal M. Reed, Adam N. Mamelak, Ralph Adolphs, Ueli Rutishauser
bioRxiv 2021.07.08.451594; doi: https://doi.org/10.1101/2021.07.08.451594
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The geometry of domain-general performance monitoring representations in the human medial frontal cortex
Zhongzheng Fu, Danielle Beam, Jeffrey M. Chung, Chrystal M. Reed, Adam N. Mamelak, Ralph Adolphs, Ueli Rutishauser
bioRxiv 2021.07.08.451594; doi: https://doi.org/10.1101/2021.07.08.451594

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