Evidence map›Paper›PMID 36315594›Full record

ArticlePLoS computational biology2022

Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task.

Sahiti Chebolu, Peter Dayan, Kevin Lloyd

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 2 institutions in 2 countries.

Sahiti CheboluGraduate Training Centre of Neuroscience, International Max Planck Research School, Tübingen, Germany.ORCID 0000-0002-3354-7091
Peter DayanDepartment for Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID 0000-0003-3476-1839
Kevin LloydDepartment for Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID 0000-0001-7744-7562
Max Planck Institute for Biological Cybernetics · DEIndian Institute of Science Education and Research Pune · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paying attention to particular aspects of the world or being more vigilant in general can be interpreted as forms of 'internal' action. Such arousal-related choices come with the benefit of increasing the quality and situational appropriateness of information acquisition and processing, but incur potentially expensive energetic and opportunity costs. One implementational route for these choices is widespread ascending neuromodulation, including by acetylcholine (ACh). The key computational question that elective attention poses for sensory processing is when it is worthwhile paying these costs, and this includes consideration of whether sufficient information has yet been collected to justify the higher signal-to-noise ratio afforded by greater attention and, particularly if a change in attentional state is more expensive than its maintenance, when states of heightened attention ought to persist. We offer a partially observable Markov decision-process treatment of optional attention in a detection task, and use it to provide a qualitative model of the results of studies using modern techniques to measure and manipulate ACh in rodents performing a similar task.

Indexed as

AcetylcholineArousalWakefulnessAcetylcholine

Identifiers

PMID36315594
PMCPMC9648841
OpenAlexW4307699097

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.