radialGradient rect script set stop style svg switch symbol text textPath title tspan unknown use view Values _blank _parent _self _top A align alpha-value always angle anonymous arithmetic atop auto auto-start-reverse auto-reverse B BackgroundAlpha BackgroundImage begin-value-list blend-mode bot...
The ANN used were the Radial Basis Function and the Kohonen model or Self-Organizing Maps. Based on the analysis of the results and characterization of the ANN the Radial Basis Function had a more appropriate and optimum performance for a large number of data, which is a disadvantage of the...
transformation function calculates the spatial correspondence between all voxels in the source and the target dataset using the information of the landmarks. This func- tion can be based on e.g. second-degree polynomials [2, 3] or radial basis functions ...
β (se) = −1.17 (0.2),P = 1.2 × 10−8; Fig.3c). The most interesting among these included asymmetries in the distribution of mitochondria in the perinuclear space (Cells_RadialDistribution_RadialCV_Mito_1of4).PRLRfunction has been linked to ...
demonstrating that changes in glia can have consequences on behavioral output43. Our results suggest thatrolsin supporting glia may act in modulating neuronal function. Intriguingly, TANC2 as well as other PSD-related proteins are also expressed in radial glia44, which act as neural stem cells and...
Preoperative electrodiagnostics of the right upper extremity demonstrated a pure upper motor neuron injury to median innervated muscles, and mixed upper and lower motor neuron injury to radial innervated muscles. These findings were confirmed via intraoperative direct neuromuscular stimulation. The ...
The model hyperparameters were optimised using a grid search approach as described previously which led the hyperparameter, 𝜈, to be set to 0.20, as well as the kernel to be set to the radial basis function (RBF). Overall, 28 folds were computed, the scores for each track segment ...
There are many different types of neural networks, such as Multilayer Perceptron Neural Network (MLP NN) and radial basis function (RBF) NN, which can be used in different applications. In [7], the application of decision tree (DT) theory based on the R-Rdot strategy was proposed for ...