Evidence map›Paper›PMID 26834535›Full record

ArticleFrontiers in neuroscience2015

Resonant Cholinergic Dynamics in Cognitive and Motor Decision-Making: Attention, Category Learning, and Choice in Neocortex, Superior Colliculus, and Optic Tectum.

Stephen Grossberg, Jesse Palma, Massimiliano Versace

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Basal Forebrain Modulation of Olfactory CodingInternational journal of psychological research
    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.

Stephen GrossbergGraduate Program in Cognitive and Neural Systems, Boston UniversityBoston, MA, USA; Center for Adaptive Systems, Boston UniversityBoston, MA, USA; Departments of Mathematics, Psychology, and Biomedical Engineering, Boston UniversityBoston, MA, USA; Center for Computational Neuroscience and Neural Technology, Boston UniversityBoston, MA, USA.
Jesse PalmaCenter for Computational Neuroscience and Neural Technology, Boston University Boston, MA, USA.
Massimiliano VersaceGraduate Program in Cognitive and Neural Systems, Boston UniversityBoston, MA, USA; Center for Computational Neuroscience and Neural Technology, Boston UniversityBoston, MA, USA.

Funding

NTP INFORMATION SYSTEMS SUPPORT27305C0011 · NIEHS · Z-TECH CORPORATION · 2007 to 2009
$4.3M
PROVIDE RABBITS, RATS, MICE, HAMSTERS, GERBILS, GUINEA PIGS27307C0011 · NIEHS · PI BOLEN, WAYNE · 2007 to 2007
$500k
NIEHS NIH HHS 27305C0011NIEHS NIH HHS 27307C0011NIEHS NIH HHS 27398C0011
6 · The paper itself

Abstract

Freely behaving organisms need to rapidly calibrate their perceptual, cognitive, and motor decisions based on continuously changing environmental conditions. These plastic changes include sharpening or broadening of cognitive and motor attention and learning to match the behavioral demands that are imposed by changing environmental statistics. This article proposes that a shared circuit design for such flexible decision-making is used in specific cognitive and motor circuits, and that both types of circuits use acetylcholine to modulate choice selectivity. Such task-sensitive control is proposed to control thalamocortical choice of the critical features that are cognitively attended and that are incorporated through learning into prototypes of visual recognition categories. A cholinergically-modulated process of vigilance control determines if a recognition category and its attended features are abstract (low vigilance) or concrete (high vigilance). Homologous neural mechanisms of cholinergic modulation are proposed to focus attention and learn a multimodal map within the deeper layers of superior colliculus. This map enables visual, auditory, and planned movement commands to compete for attention, leading to selection of a winning position that controls where the next saccadic eye movement will go. Such map learning may be viewed as a kind of attentive motor category learning. The article hereby explicates a link between attention, learning, and cholinergic modulation during decision making within both cognitive and motor systems. Homologs between the mammalian superior colliculus and the avian optic tectum lead to predictions about how multimodal map learning may occur in the mammalian and avian brain and how such learning may be modulated by acetycholine.

Indexed as

acetylcholineadaptive resonance theoryattentioncategory learningoptic tectumsaccadic eye movementsuperior colliculusvigilance

Identifiers

PMID26834535
PMCPMC4718999

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Registered trials

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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.