Evidence map›Paper›PMID 24376399›Full record

ArticleFrontiers in neural circuits2013

Effect of phase response curve skew on synchronization with and without conduction delays.

Carmen C Canavier, Shuoguo Wang, Lakshmi Chandrasekaran

Abstract read
In one paragraph

Article in Frontiers in neural circuits, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Phase-resetting as a tool of information transmission.Current opinion in neurobiology · 2015
    Review
  8. 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

3 authors.

Carmen C CanavierDepartment of Cell Biology and Anatomy, Louisiana State University School of Medicine, Louisiana State University Health Sciences Center New Orleans, LA, USA ; Neuroscience Center, Louisiana State University Health Sciences Center New Orleans, LA, USA.
Shuoguo WangDepartment of Cell Biology and Anatomy, Louisiana State University School of Medicine, Louisiana State University Health Sciences Center New Orleans, LA, USA.
Lakshmi ChandrasekaranDepartment of Cell Biology and Anatomy, Louisiana State University School of Medicine, Louisiana State University Health Sciences Center New Orleans, LA, USA.

Funding

Synchronization in Noisy, Heterogeneous Excitatory/Inhibitory NetworksR01NS054281 · NINDS · LSU HEALTH SCIENCES CENTER · PI CANAVIER, CARMEN CASTRO · 2005 to 2022
$5.4M
Multiphoton ConfocalP30GM103340 · NIGMS · LSU HEALTH SCIENCES CENTER · PI BAZAN, NICOLAS G. · 2012 to 2016
$5.1M
CRCNS: Phase resetting predicts synchronization in hybrid hippocampal circuitsR01MH085387 · NIMH · LSU HEALTH SCIENCES CENTER · PI CANAVIER, CARMEN CASTRO · 2008 to 2010
$944k
NIGMS NIH HHS P30 GM103340NIMH NIH HHS 5R01MH085387-03NIMH NIH HHS R01 MH085387NINDS NIH HHS 5R01NS054281-08NINDS NIH HHS R01 NS054281
6 · The paper itself

Abstract

A central problem in cortical processing including sensory binding and attentional gating is how neurons can synchronize their responses with zero or near-zero time lag. For a spontaneously firing neuron, an input from another neuron can delay or advance the next spike by different amounts depending upon the timing of the input relative to the previous spike. This information constitutes the phase response curve (PRC). We present a simple graphical method for determining the effect of PRC shape on synchronization tendencies and illustrate it using type 1 PRCs, which consist entirely of advances (delays) in response to excitation (inhibition). We obtained the following generic solutions for type 1 PRCs, which include the pulse-coupled leaky integrate and fire model. For pairs with mutual excitation, exact synchrony can be stable for strong coupling because of the stabilizing effect of the causal limit region of the PRC in which an input triggers a spike immediately upon arrival. However, synchrony is unstable for short delays, because delayed inputs arrive during a refractory period and cannot trigger an immediate spike. Right skew destabilizes antiphase and enables modes with time lags that grow as the conduction delay is increased. Therefore, right skew favors near synchrony at short conduction delays and a gradual transition between synchrony and antiphase for pairs coupled by mutual excitation. For pairs with mutual inhibition, zero time lag synchrony is stable for conduction delays ranging from zero to a substantial fraction of the period for pairs. However, for right skew there is a preferred antiphase mode at short delays. In contrast to mutual excitation, left skew destabilizes antiphase for mutual inhibition so that synchrony dominates at short delays as well. These pairwise synchronization tendencies constrain the synchronization properties of neurons embedded in larger networks.

Indexed as

Action PotentialsAnimalsComputer SimulationModels, NeurologicalNerve NetNeural ConductionNeural InhibitionNeuronsphase lockingphase resettingpulsatile couplingsynchronizationsynchrony

Identifiers

PMID24376399
PMCPMC3858834

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Registered trials

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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.