Cargando…

Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions

Shared neuronal variability has been shown to modulate cognitive processing. However, the relationship between shared variability and behavioral performance is heterogeneous and complex in frontal areas such as the orbitofrontal cortex (OFC). Mounting evidence shows that single-units in OFC encode a...

Descripción completa

Detalles Bibliográficos
Autores principales: Balaguer-Ballester, Emili, Nogueira, Ramon, Abofalia, Juan M., Moreno-Bote, Ruben, Sanchez-Vives, Maria V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313741/
https://www.ncbi.nlm.nih.gov/pubmed/32579563
http://dx.doi.org/10.1371/journal.pcbi.1007862
_version_ 1783549998473936896
author Balaguer-Ballester, Emili
Nogueira, Ramon
Abofalia, Juan M.
Moreno-Bote, Ruben
Sanchez-Vives, Maria V.
author_facet Balaguer-Ballester, Emili
Nogueira, Ramon
Abofalia, Juan M.
Moreno-Bote, Ruben
Sanchez-Vives, Maria V.
author_sort Balaguer-Ballester, Emili
collection PubMed
description Shared neuronal variability has been shown to modulate cognitive processing. However, the relationship between shared variability and behavioral performance is heterogeneous and complex in frontal areas such as the orbitofrontal cortex (OFC). Mounting evidence shows that single-units in OFC encode a detailed cognitive map of task-space events, but the existence of a robust neuronal ensemble coding for the predictability of choice outcome is less established. Here, we hypothesize that the coding of foreseeable outcomes is potentially unclear from the analysis of units activity and their pairwise correlations. However, this code might be established more conclusively when higher-order neuronal interactions are mapped to the choice outcome. As a case study, we investigated the trial-to-trial shared variability of neuronal ensemble activity during a two-choice interval-discrimination task in rodent OFC, specifically designed such that a lose-switch strategy is optimal by repeating the rewarded stimulus in the upcoming trial. Results show that correlations among triplets are higher during correct choices with respect to incorrect ones, and that this is sustained during the entire trial. This effect is not observed for pairwise nor for higher than third-order correlations. This scenario is compatible with constellations of up to three interacting units assembled during trials in which the task is performed correctly. More interestingly, a state-space spanned by such constellations shows that only correct outcome states that can be successfully predicted are robust over 100 trials of the task, and thus they can be accurately decoded. However, both incorrect and unpredictable outcome representations were unstable and thus non-decodeable, due to spurious negative correlations. Our results suggest that predictability of successful outcomes, and hence the optimal behavioral strategy, can be mapped out in OFC ensemble states reliable over trials of the task, and revealed by sufficiency complex neuronal interactions.
format Online
Article
Text
id pubmed-7313741
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-73137412020-06-26 Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions Balaguer-Ballester, Emili Nogueira, Ramon Abofalia, Juan M. Moreno-Bote, Ruben Sanchez-Vives, Maria V. PLoS Comput Biol Research Article Shared neuronal variability has been shown to modulate cognitive processing. However, the relationship between shared variability and behavioral performance is heterogeneous and complex in frontal areas such as the orbitofrontal cortex (OFC). Mounting evidence shows that single-units in OFC encode a detailed cognitive map of task-space events, but the existence of a robust neuronal ensemble coding for the predictability of choice outcome is less established. Here, we hypothesize that the coding of foreseeable outcomes is potentially unclear from the analysis of units activity and their pairwise correlations. However, this code might be established more conclusively when higher-order neuronal interactions are mapped to the choice outcome. As a case study, we investigated the trial-to-trial shared variability of neuronal ensemble activity during a two-choice interval-discrimination task in rodent OFC, specifically designed such that a lose-switch strategy is optimal by repeating the rewarded stimulus in the upcoming trial. Results show that correlations among triplets are higher during correct choices with respect to incorrect ones, and that this is sustained during the entire trial. This effect is not observed for pairwise nor for higher than third-order correlations. This scenario is compatible with constellations of up to three interacting units assembled during trials in which the task is performed correctly. More interestingly, a state-space spanned by such constellations shows that only correct outcome states that can be successfully predicted are robust over 100 trials of the task, and thus they can be accurately decoded. However, both incorrect and unpredictable outcome representations were unstable and thus non-decodeable, due to spurious negative correlations. Our results suggest that predictability of successful outcomes, and hence the optimal behavioral strategy, can be mapped out in OFC ensemble states reliable over trials of the task, and revealed by sufficiency complex neuronal interactions. Public Library of Science 2020-06-24 /pmc/articles/PMC7313741/ /pubmed/32579563 http://dx.doi.org/10.1371/journal.pcbi.1007862 Text en © 2020 Balaguer-Ballester et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Balaguer-Ballester, Emili
Nogueira, Ramon
Abofalia, Juan M.
Moreno-Bote, Ruben
Sanchez-Vives, Maria V.
Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions
title Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions
title_full Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions
title_fullStr Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions
title_full_unstemmed Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions
title_short Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions
title_sort representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313741/
https://www.ncbi.nlm.nih.gov/pubmed/32579563
http://dx.doi.org/10.1371/journal.pcbi.1007862
work_keys_str_mv AT balaguerballesteremili representationofforeseeablechoiceoutcomesinorbitofrontalcortextripletwiseinteractions
AT nogueiraramon representationofforeseeablechoiceoutcomesinorbitofrontalcortextripletwiseinteractions
AT abofaliajuanm representationofforeseeablechoiceoutcomesinorbitofrontalcortextripletwiseinteractions
AT morenoboteruben representationofforeseeablechoiceoutcomesinorbitofrontalcortextripletwiseinteractions
AT sanchezvivesmariav representationofforeseeablechoiceoutcomesinorbitofrontalcortextripletwiseinteractions