Evidence map›Paper›PMID 34906356›Full record

ArticleNeuron2022

Learning and attention increase visual response selectivity through distinct mechanisms.

Jasper Poort, Katharina A Wilmes, Antonin Blot, Angus Chadwick, Maneesh Sahani, Claudia Clopath, Thomas D Mrsic-Flogel, Sonja B Hofer, Adil G Khan

Abstract read
In one paragraph

Article in Neuron, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  5. Neuronal Features of Visual Attention in the Mouse Superior Colliculus Depend on Learned Behavioral Relevance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Jasper PoortDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK; Department of Psychology, University of Cambridge, Cambridge, UK. Electronic address: jp816@cam.ac.uk.
Katharina A WilmesDepartment of Bioengineering, Imperial College, London, UK.
Antonin BlotBiozentrum, University of Basel, Basel, Switzerland; Sainsbury Wellcome Centre for Neural Circuits and Behavior, University College London, London, UK.
Angus ChadwickGatsby Computational Neuroscience Unit, University College London, London, UK.
Maneesh SahaniGatsby Computational Neuroscience Unit, University College London, London, UK.
Claudia ClopathDepartment of Bioengineering, Imperial College, London, UK.
Thomas D Mrsic-FlogelBiozentrum, University of Basel, Basel, Switzerland; Sainsbury Wellcome Centre for Neural Circuits and Behavior, University College London, London, UK.
Sonja B HoferBiozentrum, University of Basel, Basel, Switzerland; Sainsbury Wellcome Centre for Neural Circuits and Behavior, University College London, London, UK.
Adil G KhanBiozentrum, University of Basel, Basel, Switzerland; Centre for Developmental Neurobiology, King's College London, London, UK. Electronic address: khan.adil@kcl.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/N013956/1Biotechnology and Biological Sciences Research Council BB/N019008/1Biotechnology and Biological Sciences Research Council BB/S015809/1Medical Research Council MR/N026063/1Medical Research Council MR/W006251/1Wellcome TrustWellcome Trust 090843/F/09/ZWellcome Trust 200790/Z/16/ZWellcome Trust 206222/Z/17/ZWellcome Trust 211258/Z/18/Z
6 · The paper itself

Abstract

Selectivity of cortical neurons for sensory stimuli can increase across days as animals learn their behavioral relevance and across seconds when animals switch attention. While both phenomena occur in the same circuit, it is unknown whether they rely on similar mechanisms. We imaged primary visual cortex as mice learned a visual discrimination task and subsequently performed an attention switching task. Selectivity changes due to learning and attention were uncorrelated in individual neurons. Selectivity increases after learning mainly arose from selective suppression of responses to one of the stimuli but from selective enhancement and suppression during attention. Learning and attention differentially affected interactions between excitatory and PV, SOM, and VIP inhibitory cells. Circuit modeling revealed that cell class-specific top-down inputs best explained attentional modulation, while reorganization of local functional connectivity accounted for learning-related changes. Thus, distinct mechanisms underlie increased discriminability of relevant sensory stimuli across longer and shorter timescales.

Indexed as

AttentionLearningAnimalsDiscrimination, PsychologicalMiceNeuronsVisual PerceptionattentionGABAergic interneuronslearningneural circuitsplasticityvisual cortex

Identifiers

PMID34906356
PMCPMC8860382

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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.