Evidence map›Paper›PMID 31609973›Full record

ArticlePLoS computational biology2019

Categorical encoding of decision variables in orbitofrontal cortex.

Arno Onken, Jue Xie, Stefano Panzeri, Camillo Padoa-Schioppa

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Abstraction of Reward Context Facilitates Relative Reward Coding in Neural Populations of the Macaque Anterior Cingulate Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  9. Review
  10. Recent Advances at the Interface of Neuroscience and Artificial Neural Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Review
  11. Article
  12. Economic Choices under Simultaneous or Sequential Offers Rely on the Same Neural Circuit.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  13. Multi-scale neural decoding and analysis.Journal of neural engineering · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Neuronal Activity in the Primate Amygdala during Economic Choice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Arno OnkenCenter for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy.ORCID 0000-0001-7387-5535
Jue XieDepartment of Neuroscience, Washington University in St Louis, St Louis, Missouri, United States of America.
Stefano PanzeriCenter for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy.
Camillo Padoa-SchioppaDepartment of Neuroscience, Washington University in St Louis, St Louis, Missouri, United States of America.

Funding

Studying perceptual decision-making across cortex by combining population imaging, connectomics, and computational modelingR01NS108410 · NINDS · HARVARD MEDICAL SCHOOL · PI HARVEY, CHRISTOPHER D, LEE, WEI-CHUNG ALLEN · 2018 to 2022
$5.7M
NEURONAL MECHANISMS OF GOOD-BASED ECONOMIC DECISIONSR01MH104494 · NIMH · WASHINGTON UNIVERSITY · PI PADOA-SCHIOPPA, CAMILLO · 2015 to 2025
$4.2M
NIMH NIH HHS R01 MH104494NINDS NIH HHS R01 NS108410
6 · The paper itself

Abstract

A fundamental and recurrent question in systems neuroscience is that of assessing what variables are encoded by a given population of neurons. Such assessments are often challenging because neurons in one brain area may encode multiple variables, and because neuronal representations might be categorical or non-categorical. These issues are particularly pertinent to the representation of decision variables in the orbitofrontal cortex (OFC)-an area implicated in economic choices. Here we present a new algorithm to assess whether a neuronal representation is categorical or non-categorical, and to identify the encoded variables if the representation is indeed categorical. The algorithm is based on two clustering procedures, one variable-independent and the other variable-based. The two partitions are then compared through adjusted mutual information. The present algorithm overcomes limitations of previous approaches and is widely applicable. We tested the algorithm on synthetic data and then used it to examine neuronal data recorded in the primate OFC during economic decisions. Confirming previous assessments, we found the neuronal representation in OFC to be categorical in nature. We also found that neurons in this area encode the value of individual offers, the binary choice outcome and the chosen value. In other words, during economic choice, neurons in the primate OFC encode decision variables in a categorical way.

Indexed as

AlgorithmsAnimalsChoice BehaviorCluster AnalysisComputational BiologyDecision MakingFrontal LobeMacaca mulattaModels, TheoreticalNeuronsPrefrontal CortexReward

Identifiers

PMID31609973
PMCPMC6812845

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.