Evidence map›Paper›PMID 26528143›Full record

ArticleFrontiers in neural circuits2015

Long-range recruitment of Martinotti cells causes surround suppression and promotes saliency in an attractor network model.

Pradeep Krishnamurthy, Gilad Silberberg, Anders Lansner

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neural circuits, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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 3 institutions in 1 country.

Pradeep KrishnamurthyDepartment of Numerical Analysis and Computer Science, Stockholm University Stockholm, Sweden ; Department of Computational Biology, School of Computer Science and Communication, Royal Institute of Technology (KTH) Stockholm, Sweden.
Gilad SilberbergDepartment of Neuroscience, Karolinska Institutet Stockholm, Sweden.
Anders LansnerDepartment of Numerical Analysis and Computer Science, Stockholm University Stockholm, Sweden ; Department of Computational Biology, School of Computer Science and Communication, Royal Institute of Technology (KTH) Stockholm, Sweden.
Karolinska Institutet · SEKTH Royal Institute of Technology · SEStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the importance of long-range connections for cortical information processing has been acknowledged for a long time, most studies focused on the long-range interactions between excitatory cortical neurons. Inhibitory interneurons play an important role in cortical computation and have thus far been studied mainly with respect to their local synaptic interactions within the cortical microcircuitry. A recent study showed that long-range excitatory connections onto Martinotti cells (MC) mediate surround suppression. Here we have extended our previously reported attractor network of pyramidal cells (PC) and MC by introducing long-range connections targeting MC. We have demonstrated how the network with Martinotti cell-mediated long-range inhibition gives rise to surround suppression and also promotes saliency of locations at which simple non-uniformities in the stimulus field are introduced. Furthermore, our analysis suggests that the presynaptic dynamics of MC is only ancillary to its orientation tuning property in enabling the network with saliency detection. Lastly, we have also implemented a disinhibitory pathway mediated by another interneuron type (VIP interneurons), which inhibits MC and abolishes surround suppression.

Indexed as

Neural Networks, ComputerCerebral CortexInterneuronsNeural InhibitionPyramidal Cellsattractor networkdisinhibitioninhibitory interneuronslong-range inhibitionMartinotti cells

Identifiers

PMID26528143
PMCPMC4604243
OpenAlexW2181156389

What OpenQuestion holds

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LicenceCC BY
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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.