Evidence map›Paper›PMID 20143143›Full record

ArticleJournal of computational neuroscience2010

Geometry and dynamics of activity-dependent homeostatic regulation in neurons.

Andrey V Olypher, Astrid A Prinz

Abstract read
In one paragraph

Article in Journal of computational neuroscience, 2010. 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. Article
  2. Article
  3. Article
  4. Article
  5. Intrinsic plasticity and birdsong learning.Neurobiology of learning and memory · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Neuronal homeostasis: time for a change?The Journal of physiology · 2011
    Review
  16. Article
  17. Compensation for variable intrinsic neuronal excitability by circuit-synaptic interactions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2010
    Article
  18. Model calcium sensors for network homeostasis: sensor and readout parameter analysis from a database of model neuronal networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2010
    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.

Andrey V OlypherBiology Department, Emory University, 1510 Clifton Rd, Atlanta, GA 30322, USA. aolypher@biology.emory.edu
Astrid A Prinz

Funding

Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Activity-dependent homeostatic regulation in neural networksR01NS054911 · NINDS · EMORY UNIVERSITY · PI PRINZ, ASTRID ANTONIA · 2007 to 2011
$1.2M
NCATS NIH HHS UL1 TR000454NINDS NIH HHS R01 NS054911
6 · The paper itself

Abstract

To maintain activity in a functional range, neurons constantly adjust membrane excitability to changing intra- and extracellular conditions. Such activity-dependent homeostatic regulation (ADHR) is critical for normal processing of the nervous system and avoiding pathological conditions. Here, we posed a homeostatic regulation problem for the classical Morris-Lecar (ML) model. The problem was motivated by the phenomenon of the functional recovery of stomatogastric neurons in crustaceans in the absence of neuromodulation. In our study, the regulation of the ionic conductances in the ML model depended on the calcium current or the intracellular calcium concentration. We found an asymptotic solution to the problem under the assumption of slow regulation. The solution provides a full account of the regulation in the case of correlated or anticorrelated changes of the maximal conductances of the calcium and potassium currents. In particular, the solution shows how the target and parameters of the regulation determine which perturbations of the conductances can be compensated by the ADHR. In some cases, the sets of compensated initial perturbations are not convex. On the basis of our analysis we formulated specific questions for subsequent experimental and theoretical studies of ADHR.

Indexed as

Models, NeurologicalAction PotentialsAnimalsCrustaceaGanglia, InvertebrateHomeostasisIon Channel GatingNeural Networks, ComputerNeurons

Identifiers

PMID20143143
PMCPMC2881194

What OpenQuestion holds

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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.