Evidence map›Paper›PMID 27306675›Full record

ArticleJournal of neurophysiology2016

Synaptic and intrinsic homeostasis cooperate to optimize single neuron response properties and tune integrator circuits.

Jonathan Cannon, Paul Miller

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Modular arrangement of synaptic and intrinsic homeostatic plasticity within visual cortical circuits.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Optogenetic Mapping of Rhythmic Phase-Dependent Excitability in the Mouse Striatum.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Gating of homeostatic regulation of intrinsic excitability produces cryptic long-term storage of prior perturbations.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Review
  8. Neuronal morphology enhances robustness to perturbations of channel densities.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Exploring the Role of CaMKIV in Homeostatic Plasticity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  13. 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.

Jonathan CannonDepartment of Biology, Brandeis University, Waltham, Massachusetts.ORCID 0000-0001-7561-6529
Paul MillerDepartment of Biology, Brandeis University, Waltham, Massachusetts pmiller@brandeis.edu.

Funding

SETTING FIRING RATE SET POINTS IN NEOCORTICAL PYRAMIDAL NEURONSP01NS079419 · NINDS · BRANDEIS UNIVERSITY · PI TURRIGIANO, GINA G · 2013 to 2017
$6.2M
NINDS NIH HHS P01 NS079419
6 · The paper itself

Abstract

Homeostatic processes that provide negative feedback to regulate neuronal firing rate are essential for normal brain function, and observations suggest that multiple such processes may operate simultaneously in the same network. We pose two questions: why might a diversity of homeostatic pathways be necessary, and how can they operate in concert without opposing and undermining each other? To address these questions, we perform a computational and analytical study of cell-intrinsic homeostasis and synaptic homeostasis in single-neuron and recurrent circuit models. We demonstrate analytically and in simulation that when two such mechanisms are controlled on a long time scale by firing rate via simple and general feedback rules, they can robustly operate in tandem to tune the mean and variance of single neuron's firing rate to desired goals. This property allows the system to recover desired behavior after chronic changes in input statistics. We illustrate the power of this homeostatic tuning scheme by using it to regain high mutual information between neuronal input and output after major changes in input statistics. We then show that such dual homeostasis can be applied to tune the behavior of a neural integrator, a system that is notoriously sensitive to variation in parameters. These results are robust to variation in goals and model parameters. We argue that a set of homeostatic processes that appear to redundantly regulate mean firing rate may work together to control firing rate mean and variance and thus maintain performance in a parameter-sensitive task such as integration.

Indexed as

Models, NeurologicalAction PotentialsHomeostasisNerve NetNeuronsSynapsesdynamical systemshomeostasisintegratormutual informationsynaptic scaling

Identifiers

PMID27306675
PMCPMC5102317

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.