People must decide where, when, and for how long to allocate gaze to perform different motor behaviours. However, the factors guiding gaze during these ongoing, natural behaviours are poorly understood. Gaze shifts help acquire information, suggesting th
The utilization of the GP method to identify the exact format of volatility forecasting models by integrating climate risk factors represents a novel and powerful approach in financial modeling. This method allows for the discovery of complex, non-linear relationships that traditional models may fail ...
Three of these (Rescorla–Wagner, Sutton K1, Hierarchical Gaussian Filter) were implemented using the HGF toolbox (http://www.translationalneuromodeling.org/hgf-toolbox-v3-0/). For a full list of priors, see Supplementary Table 3. For details of each model, see Supplementary Table 4. The ...
learning machines. Although, the results can predict the shear stress distribution with reasonable accuracy. They concluded further research might be carried out on modeling the shear stress distribution. All these studies show an accurate estimation of the shear stress distribution is a challenging ...
An uncertainty-aware modeling of the obstacle risk assessment and spatial localization has been employed, following a fuzzy logic approach, for robust obstacle detection. The above combination can translate the position and the type of detected obstacles into descriptive linguistic expressions, allowing ...