Synchronization of Two HH Neural Oscillators

<p>(A) Driven by common Gaussian white noise; and (B) driven by a common square wave.</p

Robustness of the Mechanism with Parameter Mismatch on <i>I</i>₀ in the HH Neuron Model

<div><p>(A) The relationship between the parameter mismatch Δ<i>I</i> and the synchronization error <i>q</i>.</p><p>(B) A typical numerical result of the systems with Δ<i>I</i><b> =</b> 0.5.</p></div

Robustness of the Mechanism with Parameter Mismatch on <i>G_m</i> in the HH Neuron Model.

<div><p>(A) The relationship between the parameter mismatch Δ<i>G_m</i> and the synchronization error <i>q</i>.</p><p>(B) A typical numerical result of the systems with Δ<i>G_m</i><b> =</b> 0.06.</p></div

A Schematic Bifurcation Diagram with a Normal (Supercritical) Hopf Bifurcation for Illustrating the Transient Resetting Mechanism

<p>A Schematic Bifurcation Diagram with a Normal (Supercritical) Hopf Bifurcation for Illustrating the Transient Resetting Mechanism</p

The Relationship between the Duty and the Time Required to Achieve Synchronization in the HH Neuron Model

<p>The Relationship between the Duty and the Time Required to Achieve Synchronization in the HH Neuron Model</p

Synchronization of Two Chaotic Neurons Induced by Common Noise

<p>Synchronization of Two Chaotic Neurons Induced by Common Noise</p

MOESM1 of Detecting the tipping points in a three-state model of complex diseases by temporal differential networks

Additional file 1. Detecting pre-disease states by temporal differential network

The bifurcation diagrams of the two models at .

<p>(a) The bifurcation diagrams with as the control parameter. (b) The bifurcation diagrams with and as control parameters. Other parameter values are the same as those used in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0017029#pone-0017029-g005" target="_blank">Fig. 5</a>.</p

The bifurcation diagrams of the two models.

<p>(a) The oscillatory regions of the two systems. (b) The bifurcation diagrams of the first model. (c) The bifurcation diagrams of the second model. The parameter values are , , , , , , and .</p

Additional file 4: of Comparative network stratification analysis for identifying functional interpretable network biomarkers

biomarker-GSE38642.xlsx, the identified biomarkers in GSE38642 dataset. (XLSX 207 kb