As presented in Figure 5C, the DSNN model could not reproduce the variable spike patterns and failed to accurately fit real firing rate curves. In contrast, we observed a significant improvement using the NSNN (Figure 5B). The NSNN model performs well in fitting both spike activity and ...
In this line of research, Xiaowei Jia et al. [34], [35] successfully combined RNN and physics-based models for simulating temperature profiles in lakes, and predicting flow and temperature in river networks. Bayesian methods, such as Monte Carlo Dropout (MC Dropout), have also been combined ...
Although Krylov's method failed, his name is still attached to the subspace generated by the Power method. There is yet another reason for the failure of Krylov's method in finite precision arithmetic: the vectors generated by the Power method tend to converge in the direction of the ...
In this paper, an approximation method for computing numerically the cumulative distribution function of the sum of d random variables is developed. The method leads to numerical bounds for the distribution of the sum of dependent risks. The bounds are fast to compute and converge to the exact ...