Evidence map›Paper›PMID 26240419›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2015

What single-cell stimulation has told us about neural coding.

Guy Doron, Michael Brecht

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Recent Progress in Artificial Neurons for Neuromodulation.Journal of functional biomaterials · 2024
    Review
  2. Inhibitory Subpopulations in preBötzinger Complex Play Distinct Roles in Modulating Inspiratory Rhythm and Pattern.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
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  14. Noisy Juxtacellular Stimulation In Vivo Leads to Reliable Spiking and Reveals High-Frequency Coding in Single Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Article
  15. Butterflies and the brain.The Journal of physiology · 2016
    Article
  16. Manipulating neural activity in physiologically classified neurons: triumphs and challenges.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Review
  17. Understanding the brain by controlling neural activity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Article
  18. 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.

Guy DoronBernstein Center for Computational Neuroscience, Humboldt University of Berlin, Philippstrasse 13 Haus 6, 10115 Berlin, Germany NeuroCure Cluster of Excellence, Humboldt University of Berlin, Charitéplatz 1, 10117 Berlin, Germany guy.doron@charite.de.
Michael BrechtBernstein Center for Computational Neuroscience, Humboldt University of Berlin, Philippstrasse 13 Haus 6, 10115 Berlin, Germany michael.brecht@bccn-berlin.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, single-cell stimulation experiments have resulted in substantial progress towards directly linking single-cell activity to movement and sensation. Recent advances in electrical recording and stimulation techniques have enabled control of single neuron spiking in vivo and have contributed to our understanding of neuronal coding schemes in the brain. Here, we review single neuron stimulation effects in different brain structures and how they vary with artificially inserted spike patterns. We briefly compare single neuron stimulation with other brain stimulation techniques. A key advantage of single neuron stimulation is the precise control of the evoked spiking patterns. Systematically varying spike patterns and measuring evoked movements and sensations enables 'decoding' of the single-cell spike patterns and provides insights into the readout mechanisms of sensory and motor cortical spikes.

Indexed as

AnimalsBrainElectric StimulationEvoked PotentialsHumansModels, NeurologicalMotor CortexMotor NeuronsNeuronsOptogeneticsSensory Receptor CellsSingle-Cell AnalysisSomatosensory Cortexmotor controlnanostimulationpatch clampsensationsingle neuron

Identifiers

PMID26240419
PMCPMC4528816

What OpenQuestion holds

Textmetadata
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.