In an extensive simulation study , we show that NEMix improves learning of pathway structures over classical NEMs significantly in the presence of hidden pathway stimulation.

Like in the simulation study above, we compared the NEMix model to the NEM and the sc-NEM approach.

Like for the simulation study , we derived the cell population effects for the NEM from Wilcoxon tests, comparing the knockdown experiment to the control.

Like in the simulation study , p0 was initialized by drawing randomly from a uniform distribution.

To test our model, we performed a large simulation study .

To assess the edge recovery performance for larger NEMiX models, we ran a reduced simulation study .

To begin to answer these questions, we conducted analytical and simulation studies examining the propagation of spike correlation in feedback neural circuits.

Several simulation studies further revealed that neurons acquire receptive field [17—19] or spike patterns [20] through STDP by introducing lateral inhibition; yet, those studies were limited to simplified cases for which a large population of independent neurons was suggested to be sufficient [5,21,22].

Previous simulation studies showed lateral inhibition has critical effects on excitatory STDP learning [17—19]; however, it has not yet been well studied how a secondary correlation generated through the lateral circuits influences STDP at feedforward connections, and it is still largely unknown how lateral inhibition functions with various stimuli in different neural circuits.

Therefore, both analytical and simulation studies indicate that lateral inhibition should be strong, fast and sharp to detect higher correlation structure.

This approach was used to compute the covariance matrix estimates and their true loss in the simulation study (Fig.

The covariance matrices were then subjected to the respective regularizations to produce the ground truth matrices for the simulation studies (Fig.

This simulation study demonstrated that cross-validated evaluation of regularized estimators of the covariance matrices of population activity can discriminate between structures of dependencies in the population.

Our simulation studies further illustrate the elaborate spatio-temporal regulation of DVL, which, depending on its concentration and localization, may either act as direct inducer of the transient ROS/B-catenin signal or as amplifier during continuous auto-/ parcrine WNT/B-catenin signaling.

Our simulation studies confirm that the presented model of combined redox and raft-dependent wnt signaling provides a sustained eXplanation to our experimental data.

To explore the signaling mechanisms of both, the continuous activation pattern in untreated and in particular the early immediate response in raft-deficient cells, we perform a number of simulation studies based on a validated computational model of WNT signaling we will present in the following.

A simulation study of tests for the correlation of CPI-supported paths and carriage

A simulation study was first conducted to choose a test statistic for the association of CPI paths with transmission, showing that CPI path length from transmitter to incident case was the most powerful.

To first study the characteristics of the three approaches and choose the most powerful, we used a simulation study based on a Susceptible—Colonized—Susceptible transmission model on the CPI network.