Evidence map›Paper›PMID 20531421›Full record

ReviewNature reviews. Neuroscience2010

Neuronal arithmetic.

R Angus Silver

Abstract readReview
In one paragraph

Review in Nature reviews. Neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 238 papers.

0numbers the graph read from it
0cells of the map it votes in
238citing 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

238 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Primary cilia and neural computation.Journal of biomedical science · 2026
    Review
  5. Article
  6. Cerebral capillary computation.American journal of physiology. Cell physiology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Effects of Short-Term Synaptic Plasticity in Feedforward Inhibitory Circuits on Cerebellar Responses to Repetitive Sensory Input.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

178 more citing papers are in PubMed but not listed here.

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

1 author.

R Angus SilverDepartment of Neuroscience, University College, London WC1E 6BT, UK. a.silver@ucl.ac.uk

Funding

Biotechnology and Biological Sciences Research Council BB/F005490/1Medical Research Council G0400598Wellcome Trust 064413
6 · The paper itself

Abstract

The vast computational power of the brain has traditionally been viewed as arising from the complex connectivity of neural networks, in which an individual neuron acts as a simple linear summation and thresholding device. However, recent studies show that individual neurons utilize a wealth of nonlinear mechanisms to transform synaptic input into output firing. These mechanisms can arise from synaptic plasticity, synaptic noise, and somatic and dendritic conductances. This tool kit of nonlinear mechanisms confers considerable computational power on both morphologically simple and more complex neurons, enabling them to perform a range of arithmetic operations on signals encoded ina variety of different ways.

Indexed as

MathematicsAnimalsDendritesHumansNerve NetNeuronsSynapsesSynaptic Transmission

Identifiers

PMID20531421
PMCPMC4750293

What OpenQuestion holds

Textmetadata
LicenceTDM
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.