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  ACC single unit and neuronal population correlates of response conflict versus and error detection in a novel rodent near mistake paradigm

Iwai, R., Vinogradov, O., Logothetis, N., Levina, A., & Totah, N. (2020). ACC single unit and neuronal population correlates of response conflict versus and error detection in a novel rodent near mistake paradigm. In J. Pezaris, & N. Hatsopoulos (Eds.), AREADNE 2020: Research in Encoding and Decoding of Neural Ensembles (pp. 20). Cambridge, MA, USA: The AREADNE Foundation.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0007-9873-C Version Permalink: http://hdl.handle.net/21.11116/0000-0007-9874-B
Genre: Meeting Abstract

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 Creators:
Iwai, R1, 2, Author              
Vinogradov, O1, 2, Author              
Logothetis, NK1, 2, Author              
Levina, A1, 2, Author              
Totah, NK1, 2, Author              
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: It is debated whether the anterior cingulate cortex (ACC) detects errors or response conflict because population (EEG) measures support both accounts. One way to disambiguate conflict and errors is to measure near mistakes which, in humans, consist of moving but stopping before a threshold (e.g., pressing a key in response to a NoGo stimulus). Near mistake movement magnitude correlates with conflict magnitude; thus, it is a tool for studying neuronal correlates of conflict, which should scale with movement magnitude. Here, we demonstrate near mistakes in head-fixed rats on a treadmill as they discriminate Go and NoGo visual orientation gratings by remaining immobile (NoGo) or running past a distance threshold (Go). Variable near mistake velocities allowed us to study encoding of conflict and errors at the single cell level. We tested the hypothesis that conflict-encoding single units would scale firing rate with conflict magnitude (i.e., near mistake running velocity), but would not respond to error feedback (noise burst).

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 Dates: 2020-06
 Publication Status: Published online
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Title: AREADNE 2020: Research in Encoding and Decoding of Neural Ensembles
Place of Event: Santorini, Greece
Start-/End Date: 2020-06-16 - 2020-06-20

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Title: AREADNE 2020: Research in Encoding and Decoding of Neural Ensembles
Source Genre: Proceedings
 Creator(s):
Pezaris, JS, Editor
Hatsopoulos, NG, Editor
Affiliations:
-
Publ. Info: Cambridge, MA, USA : The AREADNE Foundation
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 20 Identifier: ISSN: 2155-3203