euler–maruyama algorithm Search Results


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MathWorks Inc ode15s integrator
Statistic comparison of multiunit peak spiking. Histograms with 15 ms bins. For each bin, a one-way ANOVA with five factors (rest 1st and rest <t>2nd</t> experiment, 1-bar-100% contrast, three-bars-100% contrast, and 1-bar_80% contrast) was performed (α = 0.05). A black dot indicates that the distributions were different at the corresponding point at the abscissa. In all stimulus conditions the number of trials with zero rate decreased, and the spiking increased. (A,B) 2500 trials per condition (experimental group). (C) All trials with 1-bar stimulus with 80% contrast (replication group) compared with all trials with 1-bar of 100% contrast. (D) All trials 1-bar 80% contrast (replication group) compared with all trials of the 3-bar stimulus with 100% contrast.
Ode15s Integrator, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ode15s integrator - by Bioz Stars, 2026-04
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90
MathWorks Inc euler–maruyama algorithm
Statistic comparison of multiunit peak spiking. Histograms with 15 ms bins. For each bin, a one-way ANOVA with five factors (rest 1st and rest <t>2nd</t> experiment, 1-bar-100% contrast, three-bars-100% contrast, and 1-bar_80% contrast) was performed (α = 0.05). A black dot indicates that the distributions were different at the corresponding point at the abscissa. In all stimulus conditions the number of trials with zero rate decreased, and the spiking increased. (A,B) 2500 trials per condition (experimental group). (C) All trials with 1-bar stimulus with 80% contrast (replication group) compared with all trials with 1-bar of 100% contrast. (D) All trials 1-bar 80% contrast (replication group) compared with all trials of the 3-bar stimulus with 100% contrast.
Euler–Maruyama Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/euler–maruyama algorithm/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
euler–maruyama algorithm - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

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Statistic comparison of multiunit peak spiking. Histograms with 15 ms bins. For each bin, a one-way ANOVA with five factors (rest 1st and rest 2nd experiment, 1-bar-100% contrast, three-bars-100% contrast, and 1-bar_80% contrast) was performed (α = 0.05). A black dot indicates that the distributions were different at the corresponding point at the abscissa. In all stimulus conditions the number of trials with zero rate decreased, and the spiking increased. (A,B) 2500 trials per condition (experimental group). (C) All trials with 1-bar stimulus with 80% contrast (replication group) compared with all trials with 1-bar of 100% contrast. (D) All trials 1-bar 80% contrast (replication group) compared with all trials of the 3-bar stimulus with 100% contrast.

Journal: Frontiers in Systems Neuroscience

Article Title: Visually Evoked Spiking Evolves While Spontaneous Ongoing Dynamics Persist

doi: 10.3389/fnsys.2015.00183

Figure Lengend Snippet: Statistic comparison of multiunit peak spiking. Histograms with 15 ms bins. For each bin, a one-way ANOVA with five factors (rest 1st and rest 2nd experiment, 1-bar-100% contrast, three-bars-100% contrast, and 1-bar_80% contrast) was performed (α = 0.05). A black dot indicates that the distributions were different at the corresponding point at the abscissa. In all stimulus conditions the number of trials with zero rate decreased, and the spiking increased. (A,B) 2500 trials per condition (experimental group). (C) All trials with 1-bar stimulus with 80% contrast (replication group) compared with all trials with 1-bar of 100% contrast. (D) All trials 1-bar 80% contrast (replication group) compared with all trials of the 3-bar stimulus with 100% contrast.

Article Snippet: The simulations were performed using Matlab’s “ode15s” integrator (a small adaption allowed us to additively include noise at each integration step to the 2nd state variable, i.e., y , using the Euler-Maruyama algorithm).

Techniques: Comparison