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Distributed coding of stimulus magnitude across the rodent prefrontal cortex

Josephine Henke, David Bunk, Dina von Werder, View ORCID ProfileStefan Häusler, View ORCID ProfileVirginia L Flanagin, View ORCID ProfileKay Thurley
doi: https://doi.org/10.1101/2020.04.02.021287
Josephine Henke
1Department Biologie II, Ludwig-Maximilians-Universität München, Germany
2Bernstein Center for Computational Neuroscience Munich, Germany
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David Bunk
1Department Biologie II, Ludwig-Maximilians-Universität München, Germany
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Dina von Werder
1Department Biologie II, Ludwig-Maximilians-Universität München, Germany
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Stefan Häusler
1Department Biologie II, Ludwig-Maximilians-Universität München, Germany
2Bernstein Center for Computational Neuroscience Munich, Germany
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Virginia L Flanagin
2Bernstein Center for Computational Neuroscience Munich, Germany
3German Center for Vertigo and Balance Disorders, Ludwig-Maximilians-Universität München, Germany
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Kay Thurley
1Department Biologie II, Ludwig-Maximilians-Universität München, Germany
2Bernstein Center for Computational Neuroscience Munich, Germany
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  • ORCID record for Kay Thurley
  • For correspondence: thurley@bio.lmu.de
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Abstract

As we interact with the external world, we judge magnitudes from sensory information. The estimation of magnitudes has been characterized in primates, yet it is largely unexplored in non-primate species. Here, we show that gerbils that solve a time-interval reproduction task display primate-like magnitude estimation characteristics, most prominently a systematic overestimation of small stimuli and an underestimation of large stimuli, often referred to as regression effect. We investigated the underlying neural mechanisms by recording from medial prefrontal cortex and show that the majority of neurons respond either during the measurement or the reproduction of a time-interval. Cells that are active during both phases display distinct response patterns. We categorize the neural responses into multiple types and demonstrate that only populations with mixed responses can encode the bias of the regression effect. These results reveal the organizing neural principles of an important higher cognitive function.

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Posted April 03, 2020.
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Distributed coding of stimulus magnitude across the rodent prefrontal cortex
Josephine Henke, David Bunk, Dina von Werder, Stefan Häusler, Virginia L Flanagin, Kay Thurley
bioRxiv 2020.04.02.021287; doi: https://doi.org/10.1101/2020.04.02.021287
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Distributed coding of stimulus magnitude across the rodent prefrontal cortex
Josephine Henke, David Bunk, Dina von Werder, Stefan Häusler, Virginia L Flanagin, Kay Thurley
bioRxiv 2020.04.02.021287; doi: https://doi.org/10.1101/2020.04.02.021287

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