Evidence map›Paper›PMID 29727859›Full record

ReviewCurrent opinion in neurobiology2018

Action and learning shape the activity of neuronal circuits in the visual cortex.

Janelle Mp Pakan, Valerio Francioni, Nathalie L Rochefort

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Review
  2. Cell-Type-Specific Synaptic Scaling Mechanisms Differentially Contribute to Associative Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
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  13. Review
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  20. [Neural mechanism for modulation of auditory response of the striatum by locomotion].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022
    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.

Janelle Mp PakanCenter for Behavioral Brain Sciences, Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany; German Center for Neurodegenerative Diseases, Magdeburg, Germany.
Valerio FrancioniCentre for Discovery Brain Sciences, School of Biomedical Sciences, Edinburgh, United Kingdom.
Nathalie L RochefortCentre for Discovery Brain Sciences, School of Biomedical Sciences, Edinburgh, United Kingdom; Simons Initiative for the Developing Brain, Edinburgh, United Kingdom. Electronic address: n.rochefort@ed.ac.uk.

Funding

Wellcome TrustWellcome Trust 102857/Z/13/Z
6 · The paper itself

Abstract

Nonsensory variables strongly influence neuronal activity in the adult mouse primary visual cortex. Neuronal responses to visual stimuli are modulated by behavioural state, such as arousal and motor activity, and are shaped by experience. This dynamic process leads to neural representations in the visual cortex that reflect stimulus familiarity, expectations of reward and object location, and mismatch between self-motion and visual-flow. The recent development of genetic tools and recording techniques in awake behaving mice has enabled the investigation of the circuit mechanisms underlying state-dependent and experience-dependent neuronal representations in primary visual cortex. These neuronal circuits involve neuromodulatory, top-down cortico-cortical and thalamocortical pathways. The functions of nonsensory signals at this early stage of visual information processing are now beginning to be unravelled.

Indexed as

AnimalsBehavior, AnimalLearningMiceMotor ActivityNerve NetVisual CortexVisual Perception

Identifiers

PMID29727859
PMCPMC6562203

What OpenQuestion holds

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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.