Evidence map›Paper›PMID 15881793›Full record

ArticleNeural computation2005

Gain control by concerted changes in I(A) and I(H) conductances.

Denis Burdakov

Abstract read
In one paragraph

Article in Neural computation, 2005. 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
–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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Frontiers in cellular neuroscience · 2016
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Functional maps within a single neuron.Journal of neurophysiology · 2012
    Review
  12. Ionic current correlations underlie the global tuning of large numbers of neuronal activity attributes.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012
    Article
  13. Ca²⁺/cAMP-sensitive covariation of I(A) and I(H) voltage dependences tunes rebound firing in dopaminergic neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012
    Article
  14. Article
  15. Conductance ratios and cellular identity.PLoS computational biology · 2010
    Article
  16. Article
  17. Neuromodulators, not activity, control coordinated expression of ionic currents.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2007
    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

1 author.

Denis BurdakovNeurosciences Division, Biological Sciences, University of Manchester, Manchester, UK. denis.burdakov@man.ac.uk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stability of intrinsic electrical activity and modulation of input-output gain are both important for neuronal information processing. It is therefore of interest to define biologically plausible parameters that allow these two features to coexist. Recent experiments indicate that in some biological neurons, the stability of spontaneous firing can arise from coregulated expression of the electrophysiologically opposing I(A) and I(H) currents. Here, I show that such balanced changes in I(A) and I(H) dramatically alter the slope of the relationship between the firing rate and driving current in a Hodgkin-Huxley-type model neuron. Concerted changes in I(A) and I(H) can thus control neuronal gain while preserving intrinsic activity.

Indexed as

Action PotentialsAnimalsCell MembraneExcitatory Postsynaptic PotentialsGanglia, InvertebrateIon ChannelsModels, NeurologicalNephropidaeNeural InhibitionNeural PathwaysNeuronsSynapsesSynaptic TransmissionIon Channels

Identifiers

PMID15881793
PMCPMC5767110

What OpenQuestion holds

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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.