Evidence map›Paper›PMID 26511254›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2015

Spatial Correlations in Natural Scenes Modulate Response Reliability in Mouse Visual Cortex.

Rajeev V Rikhye, Mriganka Sur

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2015. 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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  3. Review
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  5. Article
  6. Stimulus-invariant aspects of the retinal code drive discriminability of natural scenes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
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  12. Increased Reliability of Visually-Evoked Activity in Area V1 of the MECP2-Duplication Mouse Model of Autism.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  13. Reliable Sensory Processing in Mouse Visual Cortex through Cooperative Interactions between Somatostatin and Parvalbumin Interneurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  14. Statistical neuroscience in the single trial limit.Current opinion in neurobiology · 2021
    Review
  15. Article
  16. Article
  17. Article
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  19. Article
  20. Spiking Characteristics of Network-Mediated Responses Arising in Direction-Selective Ganglion Cells of Rabbit and Mouse Retinas to Electric Stimulation for Retinal Prostheses.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2021
    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

2 authors.

Rajeev V RikhyeDepartment of Brain and Cognitive Sciences, Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139.ORCID http://orcid.org/0000-0003-2011-2897
Mriganka SurDepartment of Brain and Cognitive Sciences, Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 msur@mit.edu.

Funding

STRUCTURE AND FUNCTION IN THE RETINOGENICULATE PATHWAYR01EY007023 · NEI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUR, MRIGANKA · 1985 to 2018
$5.6M
Cortical circuits and information flow during memory-guided perceptual decisionsU01NS090473 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SUR, MRIGANKA · 2014 to 2016
$2.4M
NEUROTROPHIC REQUIREMENTS OF DEVELOPING OCULAR MOTONEUROF32EY007023 · NEI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MACDONALD, MELANIE L · 1999 to 2000
$38k
Howard Hughes Medical InstituteNEI NIH HHS EY007023NEI NIH HHS F32 EY007023NEI NIH HHS R01 EY007023NINDS NIH HHS NS090473NINDS NIH HHS U01 NS090473
6 · The paper itself

Abstract

Intrinsic neuronal variability significantly limits information encoding in the primary visual cortex (V1). Certain stimuli can suppress this intertrial variability to increase the reliability of neuronal responses. In particular, responses to natural scenes, which have broadband spatiotemporal statistics, are more reliable than responses to stimuli such as gratings. However, very little is known about which stimulus statistics modulate reliable coding and how this occurs at the neural ensemble level. Here, we sought to elucidate the role that spatial correlations in natural scenes play in reliable coding. We developed a novel noise-masking method to systematically alter spatial correlations in natural movies, without altering their edge structure. Using high-speed two-photon calcium imaging in vivo, we found that responses in mouse V1 were much less reliable at both the single neuron and population level when spatial correlations were removed from the image. This change in reliability was due to a reorganization of between-neuron correlations. Strongly correlated neurons formed ensembles that reliably and accurately encoded visual stimuli, whereas reducing spatial correlations reduced the activation of these ensembles, leading to an unreliable code. Together with an ensemble-specific normalization model, these results suggest that the coordinated activation of specific subsets of neurons underlies the reliable coding of natural scenes.

Indexed as

AlgorithmsAnimalsBrain MappingDiscrimination, PsychologicalEnvironmentFemaleMaleMiceMice, Inbred C57BLNeuronsNoisePerceptual MaskingPhotic StimulationPsychomotor PerformanceSignal-To-Noise RatioSpace Perceptioncalcium imagingcorrelated variabilityensemblesnatural scene statisticsprimary visual cortexreliable coding

Identifiers

PMID26511254
PMCPMC4623231

What OpenQuestion holds

Textmetadata
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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.