Evidence map›Paper›PMID 19005044›Full record

ReviewThe Journal of neuroscience : the official journal of the Society for Neuroscience2008

State dependence of network output: modeling and experiments.

Farzan Nadim, Vladimir Brezina, Alain Destexhe, Christiane Linster

Abstract readReview
In one paragraph

Review in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2008. 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. Decomposing Neural Circuit Function into Information Processing Primitives.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. The neuromuscular transform of the lobster cardiac system explains the opposing effects of a neuromodulator on muscle output.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
    Article
  6. Article
  7. Removal of default state-associated inhibition during repetition priming improves response articulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Repetition priming of motoneuronal activity in a small motor network: intercellular and intracellular signaling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2010
    Article
  15. State-dependent interactions between excitatory neuromodulators in the neuronal control of breathing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2010
    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

4 authors.

Farzan NadimNew Jersey Institute of Technology and Rutgers University, Newark, New Jersey 07102, USA. farzan@njit.edu
Vladimir Brezina
Alain Destexhe
Christiane Linster

Funding

REGULATION OF NEURONAL OSCILLATIONS BY SYNAPTIC DYNAMICSR01MH060605 · NIMH · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI Dirk Martin Bucher, Farzan Nadim · 2001 to 2026
$6.6M
Functional dynamics of motor controlR01NS041497 · NINDS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI BREZINA, VLADIMIR · 2001 to 2010
$2.6M
NIMH NIH HHS MH60605NIMH NIH HHS R01 MH060605NINDS NIH HHS NS41497NINDS NIH HHS R01 NS041497
6 · The paper itself

Abstract

Emerging experimental evidence suggests that both networks and their component neurons respond to similar inputs differently, depending on the state of network activity. The network state is determined by the intrinsic dynamical structure of the network and may change as a function of neuromodulation, the balance or stochasticity of synaptic inputs to the network, and the history of network activity. Much of the knowledge on state-dependent effects comes from comparisons of awake and sleep states of the mammalian brain. Yet, the mechanisms underlying these states are difficult to unravel. Several vertebrate and invertebrate studies have elucidated cellular and synaptic mechanisms of state dependence resulting from neuromodulation, sensory input, and experience. Recent studies have combined modeling and experiments to examine the computational principles that emerge when network state is taken into account; these studies are highlighted in this article. We discuss these principles in a variety of systems (mammalian, crustacean, and mollusk) to demonstrate the unifying theme of state dependence of network output.

Indexed as

Computer SimulationNeural Networks, ComputerAnimalsBrainCrustaceaHumansMammalsModels, AnimalMolluscaNerve NetSynaptic Transmission

Identifiers

PMID19005044
PMCPMC2628437

What OpenQuestion holds

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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.