Evidence map›Paper›PMID 24809823›Full record

ArticlePLoS computational biology2014

Axonal noise as a source of synaptic variability.

Ali Neishabouri, A Aldo Faisal

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 41 citations in OpenAlex.

  1. Motor automaticity in natural keyboard typing.bioRxiv : the preprint server for biology · 2026
    Article
  2. Metaplastic sleep regulation inbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. The computational power of the human brain.Frontiers in cellular neuroscience · 2023
    Review
  6. Advances in the study of axon-associated vesicles.Frontiers in molecular neuroscience · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Axonal Computations.Frontiers in cellular neuroscience · 2019
    Review
  14. Article
  15. Article
  16. Article
  17. 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 at 2 institutions in 1 country.

Ali NeishabouriDepartment of Bioengineering, Imperial College London, London, United Kingdom.
A Aldo FaisalDepartment of Bioengineering, Imperial College London, London, United Kingdom; Department of Computing, Imperial College London, London, United Kingdom; MRC Clinical Sciences Centre, London, United Kingdom.
Imperial College London · GBMRC Clinical Trials Unit at UCL · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-synaptic potential (PSP) variability is typically attributed to mechanisms inside synapses, yet recent advances in experimental methods and biophysical understanding have led us to reconsider the role of axons as highly reliable transmission channels. We show that in many thin axons of our brain, the action potential (AP) waveform and thus the Ca++ signal controlling vesicle release at synapses will be significantly affected by the inherent variability of ion channel gating. We investigate how and to what extent fluctuations in the AP waveform explain observed PSP variability. Using both biophysical theory and stochastic simulations of central and peripheral nervous system axons from vertebrates and invertebrates, we show that channel noise in thin axons (<1 µm diameter) causes random fluctuations in AP waveforms. AP height and width, both experimentally characterised parameters of post-synaptic response amplitude, vary e.g. by up to 20 mV and 0.5 ms while a single AP propagates in C-fibre axons. We show how AP height and width variabilities increase with a ¾ power-law as diameter decreases and translate these fluctuations into post-synaptic response variability using biophysical data and models of synaptic transmission. We find for example that for mammalian unmyelinated axons with 0.2 µm diameter (matching cerebellar parallel fibres) axonal noise alone can explain half of the PSP variability in cerebellar synapses. We conclude that axonal variability may have considerable impact on synaptic response variability. Thus, in many experimental frameworks investigating synaptic transmission through paired-cell recordings or extracellular stimulation of presynaptic neurons, causes of variability may have been confounded. We thereby show how bottom-up aggregation of molecular noise sources contributes to our understanding of variability observed at higher levels of biological organisation.

Indexed as

Models, NeurologicalModels, StatisticalAction PotentialsAnimalsAxonsCells, CulturedComputer SimulationHumansModels, AnatomicNeural ConductionSynapsesSynaptic PotentialsSynaptic Transmission

Identifiers

PMID24809823
PMCPMC4014398
OpenAlexW2095514056

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.